DESC:TECHNICAL FIELD
[001] The present disclosure generally relates to radar applications. More specifically, the present disclosure relates to a system and method for improved detection of slow moving targets in radar devices that allows optimized rejection of clutter without affecting target detection.

BACKGROUND
[002] Background description includes information that can be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] RADAR (or radar) is a detection system that uses radio waves to determine various parameters associated with an object include the range, angle, or velocity of the object. It can be used to detect aircraft, ships, spacecraft, guided missiles, motor vehicles, weather formations, and terrain. A radar system consists of a transmitter producing electromagnetic waves in the radio or microwaves domain, a transmitting antenna, a receiving antenna (often the same antenna is used for transmitting and receiving) and a receiver and processor to determine properties of the object(s). Radio waves (pulsed or continuous) from the transmitter reflect off the object and return to the receiver, giving information about the object's location and speed.
[004] Radar devices can detect objects that can move slowly or otherwise, with various components therewith being associated various efficiency aspects of the radar’s utility. One crucial component of the radar is the filter and its various types, and which is directed to various radars including efficiency of detections parameters. In addition, the radars are designed based on various needs including the need for detecting various objects in their respective states, be it at-rest or at-motion or otherwise. Clutter rejection is one such need and aspect that needs to be addressed.
[005] In the current art, various disclosures provided attempts at addressing various needs associated with radar devices and applications. For example, disclosures such as US3775768, US4628318, US7903024 attempted to provide solutions various aspects of clutter rejection but none have effectively addressed the same, or otherwise leaves substantial room for improvement. This invariably leaves open a pursuit for a need in the art to provide a reliable and efficient a system and method for improved detection of slow moving targets in radar devices.
[006] All publications herein are incorporated by reference to the same extent as if each individual publication or patent application were specifically and individually indicated to be incorporated by reference. Where a definition or use of a term in an incorporated reference is inconsistent or contrary to the definition of that term provided herein, the definition of that term provided herein applies and the definition of that term in the reference does not apply.
[007] In some embodiments, the numbers expressing quantities or dimensions of items, and so forth, used to describe and claim certain embodiments of the invention are to be understood as being modified in some instances by the term “about.” Accordingly, in some embodiments, the numerical parameters set forth in the written description and attached claims are approximations that may vary depending upon the desired properties sought to be obtained by a particular embodiment. In some embodiments, the numerical parameters should be construed in light of the number of reported significant digits and by applying ordinary rounding techniques. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of some embodiments of the invention are approximations, the numerical values set forth in the specific examples are reported as precisely as practicable. The numerical values presented in some embodiments of the invention may contain certain errors necessarily resulting from the standard deviation found in their respective testing measurements.
[008] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[009] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.

OBJECTS OF THE PRESENT DISCLOSURE
[0010] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0011] It is an object of the present disclosure to provide a system and method for improved detection of slow moving targets in radar devices.
[0012] It is another object of the present disclosure to provide a simple and effective system and method for improved detection of slow moving targets in radar devices.
[0013] It is another object of the present disclosure to provide a reliable and efficient system and method for improved detection of slow moving targets in radar devices.
[0014] It is another object of the present disclosure to provide a robust system and method for improved detection of slow moving targets in radar devices.

SUMMARY
[0015] The present disclosure relates to radar applications. More specifically, the present disclosure relates to a system and method for improved detection of slow moving targets in radar devices that allows optimized rejection of clutter without affecting target detection.
[0016] This summary is provided to introduce simplified concepts of a system for time bound availability check of an entity, which are further described below in the detailed description. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended for use in determining/limiting the scope of the claimed subject matter.
[0017] An aspect of the present disclosure pertains a system for detecting slow moving targets in radar applications. The system includes a clutter differentiator module, a filter map module, a filtering module, a fine doppler map module, and a threshold module. The clutter differentiator module configured to categorize a scenario as no clutter, weak clutter, strong clutter, or very strong clutter. The filter map module configured to store different sets of complex filter coefficients for filtering conditions including clutter, weak clutter, strong clutter, or very strong clutter. The filtering module configured to filter clutter using a bank of N FIR digital filters tuned on a portion of a Doppler spectrum. The fine Doppler map module configured to generate a base threshold value for a detection process. The threshold module configured to generate adaptive thresholds pertaining to the clutter residues defined by the fine Doppler Map module.
[0018] In an aspect, the clutter differentiator module is further configured to differentiate the scenario so that optimum filter coefficients are selected with respect to causing less attenuation to targets but maximum to clutter.
[0019] In an aspect, an associated filter architecture is dynamic and adaptive in nature whose coefficient is capable of being changed periodically and automatically.
[0020] In an aspect, contents associated with the fine Doppler map module is updated dynamically and automatically. In an aspect, The system as claimed in claim 4, wherein the contents associated with the fine Doppler map module is based on current as well as previous scan data to follow movement of slow moving targets.
[0021] In an aspect, coefficients for calculating fine Doppler Map associated with the fine Doppler map module is based on target speed, which can be optimized in view of required application.
[0022] In an aspect, the system is capable of providing better than 90% probability of detection for slow moving target even in high clutter scenario.
[0023] In an aspect, the system can detect targets having at least a speed of 4m/s.
[0024] In an aspect, the system is capable of detection in the presence of high clutter.
[0025] In an aspect, the system is capable of detection with regards to a target doppler when it is very close to clutter with the system being capable of detection of other targets and clutter scenario.
[0026] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF THE DRAWINGS
[0027] The diagrams are for illustration only, which thus is not a limitation of the present disclosure, and wherein:
[0028] FIG. 1 shows frequency response of single delay line canceller, in accordance with an embodiment of the present disclosure.
[0029] FIGs. 2A-2D show respectively frequency responses of filters for no clutter, weak clutter, strong clutter, and a very strong clutter scenario, in accordance with an embodiment of the present disclosure.
[0030] FIG. 3 shows a block diagram of proposed system and method for improved detection of slow moving targets in radar devices, in accordance with an embodiment of the present disclosure.
[0031] FIG. 4 shows an architecture of digital filtering implementation based on coefficients provided by filter map, in accordance with an embodiment of the present disclosure.
[0032] FIG. 5 shows a flow diagram of the proposed method implemented on a programmable platform, in accordance with an embodiment of the present disclosure.
[0033] FIG. 6 shows detection comparison between conventional approach and proposed approach for signal to clutter ratio of 0dB with input data strength being normalized to target strength, in accordance with an embodiment of the present disclosure.
[0034] FIG. 7 shows detection comparison between conventional approach and proposed approach for signal to clutter ratio of 10dB with input data strength being normalized to target strength, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0035] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0036] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0037] Embodiments of the present invention include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, and firmware and/or by human operators.
[0038] Various methods described herein may be practiced by combining one or more machine-readable storage media containing the code according to the present invention with appropriate standard computer hardware to execute the code contained therein. An apparatus for practicing various embodiments of the present invention may involve one or more computers (or one or more processors within a single computer) and storage systems containing or having network access to computer program(s) coded in accordance with various methods described herein, and the method steps of the invention could be accomplished by modules, routines, subroutines, or subparts of a computer program product.
[0039] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0040] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0041] Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. These exemplary embodiments are provided only for illustrative purposes and so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. The invention disclosed may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Various modifications will be readily apparent to persons skilled in the art. The general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the invention. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure). Also, the terminology and phraseology used is for the purpose of describing exemplary embodiments and should not be considered limiting. Thus, the present invention is to be accorded the widest scope encompassing numerous alternatives, modifications and equivalents consistent with the principles and features disclosed. For purpose of clarity, details relating to technical material that is known in the technical fields related to the invention have not been described in detail so as not to unnecessarily obscure the present invention.
[0042] Thus, for example, it will be appreciated by those of ordinary skill in the art that the diagrams, schematics, illustrations, and the like represent conceptual views or processes illustrating systems and methods embodying this invention. The functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing associated software. Similarly, any switches shown in the figures are conceptual only. Their function may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the entity implementing this invention. Those of ordinary skill in the art further understand that the exemplary hardware, software, processes, methods, and/or operating systems described herein are for illustrative purposes and, thus, are not intended to be limited to any particular named element.
[0043] Embodiments of the present invention may be provided as a computer program product, which may include a machine-readable storage medium tangibly embodying thereon instructions, which may be used to program a computer (or other electronic devices) to perform a process. The term “machine-readable storage medium” or “computer-readable storage medium” includes, but is not limited to, fixed (hard) drives, magnetic tape, floppy diskettes, optical disks, compact disc read-only memories (CD-ROMs), and magneto-optical disks, semiconductor memories, such as ROMs, PROMs, random access memories (RAMs), programmable read-only memories (PROMs), erasable PROMs (EPROMs), electrically erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other type of media/machine-readable medium suitable for storing electronic instructions (e.g., computer programming code, such as software or firmware).A machine-readable medium may include a non-transitory medium in which data may be stored and that does not include carrier waves and/or transitory electronic signals propagating wirelessly or over wired connections. Examples of a non-transitory medium may include, but are not limited to, a magnetic disk or tape, optical storage media such as compact disk (CD) or digital versatile disk (DVD), flash memory, memory or memory devices. A computer-program product may include code and/or machine-executable instructions that may represent a procedure, a function, a subprogram, a program, a routine, a subroutine, a module, a software package, a class, or any combination of instructions, data structures, or program statements. A code segment may be coupled to another code segment or a hardware circuit by passing and/or receiving information, data, arguments, parameters, or memory contents. Information, arguments, parameters, data, etc. may be passed, forwarded, or transmitted via any suitable means including memory sharing, message passing, token passing, network transmission, etc.
[0044] Furthermore, embodiments may be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware or microcode, the program code or code segments to perform the necessary tasks (e.g., a computer-program product) may be stored in a machine-readable medium. A processor(s) may perform the necessary tasks.
[0045] Systems depicted in some of the figures may be provided in various configurations. In some embodiments, the systems may be configured as a distributed system where one or more components of the system are distributed across one or more networks in a cloud computing system.
[0046] Each of the appended claims defines a separate invention, which for infringement purposes is recognized as including equivalents to the various elements or limitations specified in the claims. Depending on the context, all references below to the "invention" may in some cases refer to certain specific embodiments only. In other cases, it will be recognized that references to the "invention" will refer to subject matter recited in one or more, but not necessarily all, of the claims.
[0047] All methods described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
[0048] Various terms as used herein are shown below. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0049] The present disclosure generally relates to radar applications. More specifically, the present disclosure relates to a system and method for improved detection of slow moving targets in radar devices that allows optimized rejection of clutter without affecting target detection.
[0050] An aspect of the present disclosure pertains to.
[0051] The in-phase (I) and quadrature phase (Q) data coming from receiver of
radar acts as input to proposed system where threshold flag is generated to differentiate target from clutter. The proposed method can be implemented in any programmable signal processor for radar. The block diagram of proposed system is as
shown in FIG. 3. In FIG.3, Clutter Differentiator [1] processes the incoming data in
two parallel path, in main path it calculate the return strength while in auxiliary
path I and Q data pass through a moving target canceller circuit and then return
strength is calculated. Based on the difference in strength of both channel, scenario
is categorized as: no clutter, weak clutter, strong clutter and very strong clutter.
This information is passed to Filter Map [2] module.
[0052] Filter Map [2] module stores different sets of complex filter coefficients
for many filtering conditions. The frequency response of one such filter set for four
different clutter scenario is as shown in FIG. 2. The frequency spectrum of each filter of no clutter filter bank is uniform in nature however for weak clutter, frequency spectrum of zeroth filter is widened as compared to other filters to accommodate doppler spread due to presence of clutter and provide more attenuation to the detection falling in this zeroth filter. Similarly for strong clutter and very strong clutter frequency spectrum of zeroth filter is further widened as compared to other filters. Each filter bank is made up of N filters:
N-2 within doppler band and a pair of filters at zero velocity (ZVF), tuned to the
right and to the left of the zero doppler frequency. The N-2 filters cover doppler band
amplitude of which depends on the clutter condition, on an increase of the clutter
noise ratio, the said amplitude decreases in a manner to achieve good rejection of
ground clutter. Based on the input from Clutter Differentiator [1] it selects the
appropriate filter coefficient set and passes this to Filtering [3] module.
[0053] FIGs. 2A-2D show respectively frequency responses of filters for no clutter, weak clutter, strong clutter, and a very strong clutter scenario, in accordance with an embodiment of the present disclosure.
[0054] Filtering [3] module does filtering of clutter with a bank of N FIR digital
filters tuned on a portion of the doppler spectrum. Selectivity in doppler is realized,
in fact, by these transverse filters in time sharing, allowing incoherent integration in
groups of n sweeps. FIG. 4 represents the block diagram of Filtering [3] module.
The total length of the line corresponds to the number of sweeps that make up the
integration (coherent processing interval). The algorithm of Filtering [3] module will be as follows:

Where,
Fout = Filter output
i = Sweep value
Si = Complex signal of the received echo at the ith sweep and
(Wi)Fx = Complex coefficient of Fx filter relative to ith sweep

[0055] The responses of the filters can be changed using a different set of complex filter
coefficients to foresee many filtering conditions. The amplitudes of the filters outputs
is calculated without loss by the modules extractor downstream.

Where, I and Q are the real and imaginary components of filtered output.
[0056] FDM [4] module contains, for each filter, an integrated output value, scan
by scan which is used to generate the base threshold value for the detection process.
This module first divides radar coverage area is into elementary cells having an ex-
tension of 4 range bin (rb) x 1 coherent pulse interval (CPI). There are N-1 doppler
maps stored in this module, of which one is dedicated to filters 0+ and 0- and N-2
are dedicated to non-zero filters. The content doppler map for each elementary cell is calculated as follows:

Where,
= Content of map for nth cell, in mth scan for ith filter
= Content of map for nth cell, in (m-1)th scan for ith filter
= Output of elementary cell for nth cell, in mth scan for ith filter
[0057] The map content generation is a dynamic process and is therefore executed automatically and periodically, the periodicity of update can be operator control.
[0058] Threshold [5] module generates adaptive thresholds pertaining to the clutter residues defined by FDM [4]. The resulting doppler map data is utilized to calculate the indexed threshold for each scan as below:
Threshold1= a1* doppler map data
Threshold2= a2* doppler map data
Where, a1 and a2 reduces the detection sensitivity on clutter fluctuations in order to assure desired probability of detection.
[0059] The selection of a1 and a2 parameters is completely dependent on clutter scenario, however to maintain at least 90% probability of detection, these value should not be more than 1.25. The threshold permits the elimination of the
clutter residues out from the FIR filters, one value for velocity zero with filters F0+
and F0-, and one value for each one of the remaining filters. This threshold value
sent to detection process to eliminate clutter and pass slow moving target.
[0060] Timing Generator [6] module generates required timing signals synchronized with the rest of the equipment. The timing controller is also conditioned by
other external commands and by a few status flags generated by the circuits of pro-
posed method during the processing activities.
[0061] FIG. 5 shows the state diagram for the proposed method. All the stages in
state diagram is controlled by timing signals and if correct data is not available for the present state then control will either go to the previous state or it will wait in
the current state.
[0062] Thus, there has been described an improved system and method to detect
slow moving target (minimum speed 4m/s) for radar in the presence of high clutter. This method is very easy to implement in any programmable radar signal processor. The time required for code development is less as it relies on the filter module to compute the clutter
residue.
[0063] FIG. 6 and FIG. 7 shows the simulated result of conventional approach used
to remove clutter as compared to proposed approach. The Radar parameters for the
simulated case is provided below:
Signal to clutter ratio=0 dB and 10 dB; Target Speed =4 m/s; clutter speed=1m/s max.
[0064] As it is shown in FIG. 6 the target is not getting detected using conventional
constant false alarm method when it goes deep into clutter zone and it was found
that detection drops to almost 50% in the presence of high clutter for conventional
approach but in case of proposed method as it is shown in FIG. 6 and FIG. 7 target
is always detected even when it passes through high clutter zone. It is found that
probability of detection is maintained at 90% for the proposed method even in the
presence of high clutter.
[0065] An aspect of the present disclosure is directed to a system for detecting slow moving targets (minimum speed 4m/s) for radar in the presence of high clutter. It includes (a) Clutter Differentiator module means to categorize the scenario as no clutter, weak clutter, strong clutter and very strong clutter; (b) Filter Map module as a means to stores the different set of complex filter coefficients for many filtering conditions; (c) Filtering module means to filter clutter with a bank of N FIR digital filters tuned on a portion of the doppler spectrum; (d) Fine Doppler Map module means to generate the base threshold value for the detection process; and (e) Threshold module means to generate adaptive thresholds pertaining to the clutter residues defined by Fine Doppler Map module.
[0066] In an aspect, a Clutter Differentiator module is used to differentiate the scenario so that optimum filter coefficients are selected which causes less attenuation to targets but maximum to clutter.
[0067] In an aspect, wherein the filter architecture is dynamic and adaptive in nature whose coefficient can be changed periodically and automatically.
[0068] In an aspect, content of Fine Doppler Map is updated dynamically and automatically. Also at any point of time content of map depends on current as well as previous scan data to follow movement of slow moving targets.
[0069] In an aspect, coefficient for calculating Fine Doppler Map is based on target speed, which can be optimized in view of required application.
[0070] In an aspect, which can be provide better than 90% probability of detection for slow moving target even in high clutter scenario.
[0071] In an aspect, which is very useful when target doppler is very close to clutter but this can be extended to other targets and clutter scenario also.
[0072] It is thus an object of this approach to provide an improvement in probability of detection of slow moving targets (minimum speed 4m/s) in high clutter zone, however this may be extended to application where there is moderate or no clutter present. A further object of this approach is to minimize the complexity of clutter removal methods.
[0073] The present disclosure describes a method of detecting slow moving target (minimum speed 4m/s) for radars in a scenario where separation between clutter frequency spectrum and target frequency spectrum is not wide. The present method provides sets of moving target detector (MTD) filters based on clutter environment and high resolution fine
Doppler map to separate slow moving target from clutter. The moving target detector
filters are adaptive in nature and can be configured based on environment, where
radars are being deployed and these filters along with fine Doppler map provide a good rejection to clutter without affecting target detection.
[0074] The present disclosure is envisioned to be performed using appropriate physical devices that may be appreciated by a person skilled in the art. As such all physical devices comprising respective various physical materials serve their respective functions and all such materials and their respective manufacturing methods are intended to be covered by this disclosure.
[0075] Thus, it will be appreciated by those of ordinary skill in the art that the diagrams, schematics, illustrations, and the like represent conceptual views or processes illustrating systems and methods embodying this invention. The functions of the various elements shown in the figures can be provided through the use of dedicated hardware as well as hardware capable of executing associated software. Similarly, any switches shown in the figures are conceptual only. Their function can be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the entity implementing this invention. Those of ordinary skill in the art further understand that the exemplary hardware, software, processes, methods, and/or operating systems described herein are for illustrative purposes and, thus, are not intended to be limited to any particular named.
[0076] While embodiments of the present invention have been illustrated and described, it will be clear that the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the spirit and scope of the invention, as described in the claim.
[0077] In the foregoing description, numerous details are set forth. It will be apparent, however, to one of ordinary skill in the art having the benefit of this disclosure, that the present invention can be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form, rather than in detail, to avoid obscuring the present invention.
[0078] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other)and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0079] It should be apparent to those skilled in the art that many more modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps can be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refers to at least one of something selected from the group consisting of A, B, C …. and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[0080] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention can be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0081] The present disclosure provides a system and method for improved detection of slow moving targets in radar devices.
[0082] The present disclosure provides a simple and effective system and method for improved detection of slow moving targets in radar devices.
[0083] The present disclosure provides a reliable and efficient system and method for improved detection of slow moving targets in radar devices.
[0084] The present disclosure provides a robust system and method for improved detection of slow moving targets in radar devices.

,CLAIMS:1. A system for detecting slow moving targets in radar applications, the system including:
a clutter differentiator module configured to categorize a scenario as no clutter, weak clutter, strong clutter, or very strong clutter;
a filter map module configured to store different sets of complex filter coefficients for filtering conditions including clutter, weak clutter, strong clutter, or very strong clutter;
a filtering module configured to filter clutter using a bank of N FIR digital filters tuned on a portion of a Doppler spectrum;
a fine Doppler map module configured to generate a base threshold value for a detection process;
a threshold module configured to generate adaptive thresholds pertaining to the clutter residues defined by the fine Doppler Map module.
2. The system as claimed in claim 1, wherein the clutter differentiator module is further configured to differentiate the scenario so that optimum filter coefficients are selected with respect to causing less attenuation to targets but maximum to clutter.
3. The system as claimed in claim 2, wherein an associated filter architecture is dynamic and adaptive in nature whose coefficient is capable of being changed periodically and automatically.
4. The system as claimed in claim 3, wherein contents associated with the fine Doppler map module is updated dynamically and automatically.
5. The system as claimed in claim 4, wherein the contents associated with the fine Doppler map module is based on current as well as previous scan data to follow movement of slow moving targets.
6. The system as claimed in claim 5, wherein coefficients for calculating fine Doppler Map associated with the fine Doppler map module is based on target speed, which can be optimized in view of required application.
7. The system as claimed in claim 6, wherein the system is capable of providing better than 90% probability of detection for slow moving target even in high clutter scenario.
8. The system as claimed in claim 7, wherein the system can detect targets having at least a speed of 4m/s.
9. The system as claimed in claim 8, wherein the system is capable of detection in the presence of high clutter.
10. The system as claimed in claim 9, wherein the system is capable of detection with regards to a target doppler when it is very close to clutter with the system being capable of detection of other targets and clutter scenario.