DESC:TECHNICAL FIELD
[0001] The present invention relates generally to identification of intra-pulse frequency modulations. More specifically, the present invention relates generally to a system and method for identification of intra-pulse frequency modulations in Ultra-Wideband Radar Signals.
BACKGROUND
[0002] Typically, in an electronic warfare (EW) domain, identifying the emitters uniquely is a difficult task. The key parameters to discriminate the emitted signals are like Frequency, Pulse Width, Pulse Repetition Interval (PRI), Scan Type etc. But with the advent of Low probability of Intercept (LPI) radars, there can be variation simultaneously in one or more of these parameters. Hence, a unique identification process becomes much more challenging. Some of the other key parameters which can be used to identify the emitters uniquely are intra-pulse modulation types and associated parameters. The intra pulse modulations are broadly divided into Frequency modulations (FM) and Phase modulations (PM). Frequency modulations are further classified into Linear, Non-Linear FM (NLFM), and Step FM (SFM), etc. Phase Modulations include Barker codes, Poly-phase codes, etc.

[0003] For example, KR101302624B1 discloses computing the instantaneous frequency of the phase difference in units of a time index on the basis of the In-phase (I), Quadra phase (Q) data of a modulated radar signal. It normalizes the instantaneous phase difference calculated by the time index units, the normalized and then from the instantaneous phase difference extracts the local maximum values and local minimum, a local that has the largest time index difference from the local maximum value and local minimum value of the extracted searching for the minimum value and the local maximum value pair, and the local minimum and local using a time index corresponding to the maximum value pairs the primary function of the template data for generating template data generator.
[0004] Through a correlation operation with the instantaneous phase difference with the template data, and the frequency modulation type of the radar signal is determined to LFM, NLFM only etc. This method of extracting the modulation characteristics has put lot of limitation on computational capability of the method.

[0005] Therefore, there is still a need of an invention which solves the above defined problems and provides a system and method for identifying intra-pulse frequency modulations.
SUMMARY
[0006] This summary is provided to introduce concepts related to a system and method for identifying intra-pulse frequency modulations. This summary is neither intended to identify essential features of the present invention nor is it intended for use in determining or limiting the scope of the present invention.

[0007] For example, various embodiments herein may include one or more systems and methods for identifying intra-pulse frequency modulations are provided. In one of the embodiments, the method for identifying intra-pulse frequency modulations includes a step of receiving, by a receiving module, signals from a plurality of sources. The method includes a step of converting, by a wide-band down converter, the received signals into intermediate frequency (IF) data. The method includes a step of digitizing, by a data acquisition unit, the IF data, and generating digitized samples of the IF data. The method includes a step of processing, by a processing unit, the digitized samples of the IF data using signal processing techniques.

[0008] In another embodiment, a system for identifying intra-pulse frequency modulations includes a receiving module, a wideband down converter, a data acquisition unit, and a processing unit. The receiving module is configured to receive signals from a plurality of sources. The wideband down converter is configured to convert the received signals into intermediate frequency (IF) data. The data acquisition unit is configured to digitize the IF data, and generate digitized samples of the IF data. The processing unit is configured to process the digitized samples of the IF data using signal processing techniques.
BRIEF DESCRIPTION OF ACCOMPANYING DRAWINGS
[0009] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the drawings to reference like features and modules.

[0010] Figure 1 illustrates a block diagram depicting a system for identifying intra-pulse frequency modulations, according to an exemplary implementation of the present invention.

[0011] Figure 2 illustrates a flow diagram depicting a method for identification of intra-pulse frequency modulations in ultra-wideband radar signals, according to an exemplary implementation of the present invention.

[0012] Figure 3 illustrates a flowchart depicting a method for identifying intra-pulse frequency modulations, according to an exemplary implementation of the present invention.

[0013] Figure 4 illustrates a graphical representation depicting Short Time Fourier Transform (STFT) amplitude peak position stem plot of fixed frequency signal, according to an exemplary implementation of the present invention.

[0014] Figure 5 illustrates a graphical representation depicting STFT Amplitude peak positions stem plot of LFM (Up Chirp) signal, according to an exemplary implementation of the present invention.

[0015] Figure 6 illustrates a graphical representation depicting STFT Amplitude peak positions stem plot of Linear Frequency Modulated (LFM) (Down Chirp) signal, according to an exemplary implementation of the present invention.

[0016] Figure 7 illustrates a graphical representation depicting STFT Amplitude peak positions stem plot of STFM (Step Frequency Modulated-Step Up) signal, according to an exemplary implementation of the present invention.

[0017] Figure 8 illustrates a graphical representation depicting STFT Amplitude Peak positions Stem plot of STFM (Step Frequency Modulated-Down Up) signal, according to an exemplary implementation of the present invention.

[0018] Figure 9 illustrates a graphical representation depicting STFT Amplitude Peak positions Stem plot of STFM (Step Frequency Modulated- Up Down) signal, according to an exemplary implementation of the present invention.

[0019] It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative systems embodying the principles of the present invention. Similarly, it will be appreciated that any flowcharts, flow diagrams, and the like represent various processes which may be substantially represented in computer readable medium and so executed by a computer or processor, whether or not such computer or processor is explicitly shown.
DETAILED DESCRIPTION
[0020] In the following description, for the purpose of explanation, specific details are set forth in order to provide an understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these details. One skilled in the art will recognize that embodiments of the present invention, some of which are described below, may be incorporated into a number of systems.
[0021] The various embodiments of the present invention provide a system and method for identifying intra-pulse frequency modulations. Furthermore, connections between components and/or modules within the figures are not intended to be limited to direct connections. Rather, these components and modules may be modified, re-formatted or otherwise changed by intermediary components and modules.

[0022] References in the present invention to “one embodiment” or “an embodiment” mean that a particular feature, structure, characteristic, or function described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.

[0023] In one of the embodiments, the method for identifying intra-pulse frequency modulations includes a step of receiving, by a receiving module, signals from a plurality of sources. The method includes a step of converting, by a wide-band down converter, the received signals into intermediate frequency (IF) data. The method includes a step of digitizing, by a data acquisition unit, the IF data, and generating digitized samples of the IF data. The method includes a step of processing, by a processing unit, the digitized samples of the IF data using signal processing techniques.

[0024] In another implementation, processing the digitized signals includes a step of creating an envelope for the digitized samples. The method includes a step of detecting a pre-determined threshold from the envelope. The method includes a step of extracting pulse data from the digitized samples of the envelope. The method includes a step of determining peak amplitude positions within the envelope using Short Time Fourier Transform (STFT) data. The method includes a step of determining a number of stable levels. The method includes a step of computing difference of the determined stable levels. The method includes a step of identifying intra-pulse frequency modulation in the pulse data using the computed data.

[0025] In another implementation, receiving the signals includes a step of intercepting, by the receiving unit, the signals received from the plurality of sources. The method includes a step of analysing, by the receiving unit, the signals which are radiated from the plurality of sources like antennas.

[0026] In another implementation, the method includes converting, by the wide-band down converter, radio frequency of the ultra-wideband radar radio frequency signals to the IF data and the equivalent log video data.

[0027] In another implementation, processing the digitized signals includes determining, by the processing unit, the peak amplitude positions within the envelope into fixed frequency.

[0028] In another implementation, processing the digitized signals includes determining, by the processing unit, the peak amplitude positions within the envelope into frequency modulated signals using the Short Time Fourier Transform (STFT) data.

[0029] In another implementation, the method includes classifying, by the processing unit, the frequency modulated signals into Linear Frequency Modulated (LFM) signals and Step Frequency Modulated (STFM) signals.

[0030] In another implementation, classifying, by the processing unit, the LFM signals into up-chirp LFM signals and down chirp LFM signals.

[0031] In another implementation, classifying, by the processing unit, the STFM signals into step-up, step down, down up, and up down type of signals.
[0032] In another embodiment, a system for identifying intra-pulse frequency modulations includes a receiving module, a wideband down converter, a data acquisition unit, and a processing unit. The receiving module is configured to receive signals from a plurality of sources. The wideband down converter is configured to convert the received signals into intermediate frequency (IF) data. The data acquisition unit is configured to digitize the IF data, and generate digitized samples of the IF data. The processing unit is configured to process the digitized samples of the IF data using signal processing techniques.

[0033] In another implementation, the processing unit is configured to create an envelope for the digitized samples. The processing unit is further configured to detect a pre-determined threshold from the envelope, extract pulse data from the digitized samples of the envelope, determine peak amplitude positions within the envelope using Short Time Fourier Transform (STFT) data, determine a number of stable levels, compute difference of the determined stable levels, and identify intra-pulse frequency modulation in the pulse data using the computed data.

[0034] In another implementation, the receiving unit is configured to intercept the signals received from the plurality of sources, and analyse the signals which are radiated from the plurality of sources.

[0035] In another implementation, the wideband down converter is configured to convert said received signals into said IF data and equivalent log video data.

[0036] In another implementation, the wideband down converter is configured to convert radio frequency of the ultra-wide band radar radio frequency signals to the IF data and the equivalent log video data.

[0037] In another implementation, the data acquisition unit includes an analog to digital converter configured to digitize said IF data. Hilbert Transforms are used to convert the IF data into the equivalent log video data.
[0038] In another implementation, the processing unit is configured to determine said peak amplitude positions within said envelope into fixed frequency.

[0039] In another implementation, the processing unit is configured to determine using peak amplitude positions within the envelope into frequency modulated signals using the Short Time Fourier Transform (STFT) data.

[0040] In another implementation, the processing unit is configured to classify the frequency modulated signals into Linear Frequency Modulated (LFM) signals and Step Frequency Modulated (STFM) signals.

[0041] In another implementation, the processing unit is configured to classify the LFM signals into up-chirp LFM signals and down chirp LFM signals.

[0042] In another implementation, the processing unit is configured to classify the STFM signals into step-up, step down, down up, and up down type of signals.

[0043] Figure 1 illustrates a block diagram depicting a system for identifying intra-pulse frequency modulations, according to an exemplary implementation of the present invention.

[0044] The system for identifying intra-pulse frequency modulation (hereinafter referred to as “system”) (100) includes a receiving module (102), a wideband down converter (104), a data acquisition unit (106), and a processing unit (110).

[0045] The receiving module (102) is configured to receive signals from a plurality of sources. In an embodiment, the receiving module (102) is configured to receive ultra-wideband radar radio frequency signals from the plurality of sources. The plurality of sources includes antennas. In another embodiment, the receiving module (102) is configured to intercept the signals received from the plurality of sources, and analyse the signals which are radiated from the plurality of sources.

[0046] The wideband down converter (104) is configured to cooperate with the receiving module (102) to receive the signals. The wideband down converter (104) is configured to convert the received signals into intermediate frequency (IF) data. In an embodiment, the wideband down converter (104) is configured to convert the received ultra-wideband radio frequency signal to IF data and equivalent log video data. In another embodiment, the wideband down converter (104) is configured to convert the radio frequency of the ultra-wideband radar radio frequency signals to the IF data and the equivalent log video data. In another embodiment, the log visual data is related to log video.

[0047] The data acquisition unit (106) is configured to cooperate with the wideband down converter (104), and is further configured to digitize the IF data and generate digitized samples of the IF data. In one embodiment, the data acquisition unit (106) is configured to digitize the IF data at Giga samples per second rate. In an embodiment, the data acquisition unit (106) is configured to communicatively coupled with the wideband down converter (104) by using an Ethernet and the like. In an embodiment, the data acquisition unit (106) is configured to communicatively coupled with the wideband down converter (104) by using a network (not shown in a figure). The network includes wired and wireless networks. Examples of the wired networks include a Wide Area Network (WAN) or a Local Area Network (LAN), a client-server network, a peer-to-peer network, and so forth. Examples of the wireless networks include Wi-Fi, a Global System for Mobile communications (GSM) network, and a General Packet Radio Service (GPRS) network, an enhanced data GSM environment (EDGE) network, 802.5 communication networks, Code Division Multiple Access (CDMA) networks.

[0048] In an embodiment, the data acquisition unit (106) includes an analog to digital converter (108). The analog to digital converter (108) is configured to receive and convert the IF data and equivalent log video data into digitized IF data and digitized log video data. In another embodiment, the data acquisition unit (106) is further configured to generate digitized samples of the IF data using a transformation technique. The transformation technique includes a Hilbert transformation technique, a Fourier transformation technique, and the like.

[0049] The processing unit (110) is configured to cooperate with the data acquisition unit (106) and the wideband down converter (104). The processing unit (110) is configured to process the digitized samples of the IF data using the signal processing techniques. The signal processing techniques include Fourier transforms techniques, filtering techniques, sampling techniques, and the like.

[0050] In an embodiment, the processing unit (110) is configured to create an envelope, detect a pre-determined threshold from the created envelope, and extract pulse data from the digitized samples of the envelope. Further, the processing unit (110) is configured to determine peak amplitude positions within the envelope using Short Time Fourier Transform (STFT) data, and determine a number of stable levels. Based on the determined number of stable levels, the processing unit (110) is configured to compute difference between the determined stable levels, and identify intra-pulse frequency modulation in the pulse data using the computed data. In an embodiment, the processing unit (110) is configured to determine the peak amplitude positions within the envelope into fixed frequency. In another embodiment, the processing unit (110) is configured to determine the peak amplitude positions within the envelope into frequency modulated signals using the Short Time Fourier Transform (STFT) data. In another embodiment, the processing unit (110) is configured to classify the frequency modulated signals into Linear Frequency Modulated (LFM) signals and Stepper Frequency Modulated (STFM) signals. In another embodiment, the processing unit (110) is configured to classify the LFM signals into up-chirp LFM signals are down chirp LFM signals. In another embodiment, the processing unit (110) is configured to classify the STFM signals into step-up, step down, down up, and up down type of signals.

[0051] In an embodiment, the incoming Intermediate Frequency (IF) data is digitized using a 12 bit Analog to Digital Converter (108). Using the Hilbert transformation technique, the processing unit (110) is configured to transform the data and is converted into I, Q samples. An envelope is formed out of these I, Q samples when there is suitable threshold pulse presence is detected. The pulse data is extracted from the digitized samples from the pulse area. The STFTs of n points are applied on the pulse data. The peak amplitude positions are extracted from the STFT. The difference of the peaks extracted positions with minimum are computed. The parameters, such as the number of stable levels and difference of the stable levels, are computed from the data computed for difference of the peaks extracted positions. The decision of identification of the classification is based on the computed parameters. In an embodiment, the pre-determined threshold is related to a parameter that validates whether the pulse data is present or not. In another embodiment, the threshold can be based on signal-to-noise ratio. One of the thresholds can be based on a particular value of signal to signal-to-noise ratio.

[0052] In an embodiment, the system (100) converts the high frequency radar signals into digital and logarithmic video formats using the wideband down converter (104), high speed data acquisition circuits (106) and a set of instructions to the processing unit (110). In an embodiment, the system (100) is a general purpose hardware specifically customized for capturing of high speed digital samples and storing of these samples using the clock signals derived from logarithmic video. The set of instructions to the processing unit (110) leads to the additional points.

[0053] Figure 2 illustrates a flow diagram depicting a method for identification of intra-pulse frequency modulations in ultra-wideband radar signals, according to an exemplary implementation of the present invention.

[0054] The flow diagram (200) starts from a step (202), digitizing the down converted IF data. In an embodiment, a wideband down converter (104) is configured to digitize the converted IF data. At a step (204), applying Hilbert transform and converting the digital data into complex I, Q samples. In an embodiment, a data acquisition unit (106) is configured to apply Hilbert transformation technique and convert the digital data into complex I, Q samples. At a step (206), generating envelope and applying suitable threshold to extract the pulse data. In an embodiment, a processing unit (110) is configured to generate an envelope and apply suitable threshold to extract the pulse data. At a step (208), applying n point STFTs and finding the peak amplitude positions from the pulse data. In an embodiment, the processing unit (110) is configured to apply n point STFTs and find the peak amplitude positions from the pulse data. At a step (210), finding the stable levels and difference of the same. In an embodiment, the processing unit (110) is configured to find the stable levels and difference of the same. At a step (212), the processing unit (110) checks whether the number of stable levels is unity. If the number of levels is unity, then the processing unit (110) is configured to declare No frequency modulation in pulse (as shown in a step (214), else declare frequency modulation (as shown in a step (216)), and stop the process. At a step (218), checking whether the calculate difference is unity. In an embodiment, the processing unit (110) is configured to check whether the calculate difference is unity. If the calculated difference is unity, then the processing unit (110) is configured to declare LFM modulation (as shown in a step (220), else declare STFM modulation (as shown in step (228)). At a step (222), checking whether the tendency is increasing. In an embodiment, the processing unit (110) is configured to check whether the tendency is increasing. If the tendency is increasing, declaring LFM Up chirp modulation (as shown in a step (226), else stop the process. Further, at a step (230), checking whether the tendency is increasing after declaring STFM modulation. In an embodiment, the processing unit (110) is configured to check whether the tendency is increasing after declaring STFM modulation. If the tendency is increasing, declaring STFM step up modulation and stop the process (as shown in a step (232)). If the tendency is not increasing, again check whether the tendency is increasing (as shown in a step (834)). If the tendency is increasing, declaring STFM step up down modulation and stop the process (as shown in a step (236)). At a step (238), checking whether the tendency is decreasing and increasing. In an embodiment, the processing unit (110) is configured to check whether the tendency is decreasing and increasing. If the tendency is decreasing and increasing, declaring STFM step down up modulation (as shown in a step (240)), else declare STFM step down modulation (as shown in a step (242)).

[0055] Figure 3 illustrates a flowchart depicting a method for identifying intra-pulse frequency modulations, according to an exemplary implementation of the present invention.

[0056] The flowchart (300) starts at a step (302), receiving, by a receiving module, signals from a plurality of sources. In an embodiment, a receiving module is configured to receive signals from a plurality of sources. At a step (304), converting, by a wideband down converter (104), the received signals into intermediate frequency (IF) data. In an embodiment, a wideband down converter (104) is configured to convert the received signals into intermediate frequency (IF) data. At a step (306), digitizing, by a data acquisition unit (106), the IF data, and generating digitized samples of the IF data. In an embodiment, a data acquisition unit (106) is configured to digitize the IF data and generate digitized samples of the IF data. At a step (308), processing, by a processing unit (110), the digitized samples of the IF data using signal processing techniques. In an embodiment, a processing unit (110) is configured to process the digitized samples of the IF data using signal processing techniques.

[0057] Figure 4 illustrates a graphical representation (400) depicting Short Time Fourier Transform (STFT) amplitude peak position stem plot of fixed frequency signal, according to an exemplary implementation of the present invention.

[0058] In Figure 4, STFT is applied on the digitized samples of the identified signal pulse data. The peaks of the each of the STFT are computed from the STFT data. Minimum of the STFT peaks is subtracted from all the peaks of each STFT computed. The data is stem plotted on a graph with STFT numbers on x-axis and corresponding peak values on the y-axis (After min peak subtraction).

[0059] Figure 5 illustrates a graphical representation (500) depicting STFT Amplitude peak positions stem plot of LFM (Up Chirp) signal, according to an exemplary implementation of the present invention.

[0060] In Figure 5, STFT is applied on the digitized samples of the identified signal pulse. The peaks of the each of the STFT are calculated from the STFT data. Minimum of the STFT peaks is subtracted from all the peaks of each STFT calculated. The data is stem plotted on a graph with STFT numbers on x-axis and corresponding peak values on the y-axis (After min peak subtraction). The procedure is followed to obtain the stem plot.

[0061] Figure 6 illustrates a graphical representation (600) depicting STFT Amplitude peak positions stem plot of Linear Frequency Modulated (LFM) (Down Chirp) signal, according to an exemplary implementation of the present invention. Figure 6 represents STFT Amplitude peak positions stem plot of LFM (Down Chirp) signal.

[0062] Figure 7 illustrates a graphical representation (700) depicting STFT Amplitude peak positions stem plot of STFM (Step Frequency Modulated-Step Up) signal, according to an exemplary implementation of the present invention.
[0063] Figure 7 represents STFT Amplitude peak positions stem plot of STFM (Step Frequency Modulated-Step Up) signal.

[0064] Figure 8 illustrates a graphical representation (800) depicting STFT Amplitude Peak positions Stem plot of STFM (Step Frequency Modulated-Down Up) signal, according to an exemplary implementation of the present invention. Figure 8 represents STFT Amplitude Peak positions Stem plot of STFM (Step Frequency Modulated-Down Up) signal.

[0065] Figure 9 illustrates a graphical representation (900) depicting STFT Amplitude Peak positions Stem plot of STFM (Step Frequency Modulated- Up Down) signal, according to an exemplary implementation of the present invention. Figure 9 represents STFT Amplitude Peak positions Stem plot of STFM (Step Frequency Modulated- Up Down) signal.

[0066] In one of the embodiments, the system (100) for identifying intra pulse frequency modulations of the UWB modulations radar signals classifies the radar signal into fixed frequency or frequency modulated within pulse using the stable peak amplitude positions calculated from Short Time Fourier Transform (STFT) STFT data. The system (100) for identifying intra pulse frequency modulations classifies the Frequency Modulation type without actual calculation of the Frequency within the pulse.
,CLAIMS:
1. A method for identifying intra-pulse frequency modulations, said method comprising:
receiving, by a receiving module (102), signals from a plurality of sources;
converting, by a wideband down converter (104), said received signals into intermediate frequency (IF) data;
digitizing, by a data acquisition unit (106), said IF data, and generating digitized samples of said IF data; and
processing, by a processing unit (110), said digitized samples of said IF data using signal processing techniques.

2. The method as claimed in claim 1, wherein processing, by said processing unit (110), said digitized signals includes:
creating an envelope for said digitized samples;
detecting a pre-determined threshold from said envelope;
extracting pulse data from said digitized samples of said envelope;
determining peak amplitude positions within said envelope using Short Time Fourier Transform (STFT) data;
determining a number of stable levels;
computing difference of said determined stable levels; and
identifying intra-pulse frequency modulation in said pulse data using said computed data.

3. The method as claimed in claim 1, wherein receiving said signals includes steps of:
intercepting, by said receiving module (102), said signals received from said plurality of sources; and
analysing, by said receiving module (102), said signals which are radiated from said plurality of sources like antennas.

4. The method as claimed in claim 1, wherein said method includes converting, by said wideband down converter (104), radio frequency of said ultra-wideband radar radio frequency signals to said IF data and said equivalent log video data.

5. The method as claimed in claim 2, wherein processing said digitized signals includes determining, by said processing unit (110), said peak amplitude positions within said envelope into fixed frequency.

6. The method as claimed in claim 2, wherein processing said digitized signals includes determining, by said processing unit (110), said peak amplitude positions within said envelope into frequency modulated signals using said Short Time Fourier Transform (STFT) data.

7. The method as claimed in claim 6, wherein said method includes classifying, by said processing unit (110), said frequency modulated signals into Linear Frequency Modulated (LFM) signals and Step Frequency Modulated (STFM) signals.

8. The method as claimed in claim 7, wherein classifying, by said processing unit (110), said LFM signals into up-chirp LFM signals and down chirp LFM signals,

9. The method as claimed in claim 7, wherein classifying, by said processing unit (110), said STFM signals into step-up, step down, down up, and up down type of signals.

10. A system (100) for identifying intra-pulse frequency modulations, said system (100) comprising:
a receiving module (102) configured to receive signals from a plurality of sources;
a wideband down converter (104) configured to cooperate with said receiving module (102), said wideband down converter (104) configured to convert said received signals into intermediate frequency (IF) data;
a data acquisition unit (106) configured to cooperate with said wideband down converter (104), said data acquisition unit (106) configured to digitize said IF data, and generate digitized samples of said IF data; and
a processing unit (110) configured to cooperate with said data acquisition unit (106) and said wideband down converter (104), said processing unit (110) configured to process said digitized samples of said IF data using signal processing techniques.

11. The system (100) as claimed in claim 10, wherein said processing unit (110) is configured to:
create an envelope for said digitized samples;
detect a pre-determined threshold from said envelope;
extract pulse data from said digitized samples of said envelope;
determine peak amplitude positions within said envelope using Short Time Fourier Transform (STFT) data;
determine a number of stable levels;
compute difference of said determined stable levels; and
identify intra-pulse frequency modulation in said pulse data using said computed data.

12. The system (100) as claimed in claim 10, wherein said receiving unit (102) is configured to intercept said signals received from said plurality of sources, and analyse said signals which are radiated from said plurality of sources.

13. The system (100) as claimed in claim 10, wherein said wideband down converter (104) is configured to convert said received signals into said IF data and equivalent log video data.

14. The system (100) as claimed in claim 10, wherein said wideband down converter (104) is configured to convert radio frequency of the ultra-wideband radar radio frequency signals to said IF data and said equivalent log video data.

15. The system (100) as claimed in claim 10, wherein said data acquisition module (106) is configured to generate digitized samples of said IF data, and wherein Hilbert Transform are used to convert the IF data into the equivalent log video data.

16. The system (100) as claimed in claim 11, wherein said processing unit (110) is configured to determine said peak amplitude positions within said envelope into fixed frequency.

17. The system (100) as claimed in claim 11, wherein said processing unit (110) is configured to determine using peak amplitude positions within said envelope into frequency modulated signals using said Short Time Fourier Transform (STFT) data.

18. The system (100) as claimed in claim 17, wherein said processing unit (110) is configured to classify said frequency modulated signals into Linear Frequency Modulated (LFM) signals and Step Frequency Modulated (STFM) signals.

19. The system (100) as claimed in claim 18, wherein said processing unit (110) is configured to classify said LFM signals into up-chirp LFM signals and down chirp LFM signals.

20. The system (100) as claimed in claim 18, wherein said processing unit (110) is configured to classify said STFM signals into step-up, step down, down up, and up down type of signals.