Claims:1. A system (100) for generating spatio-temporal side scan sonar data, said system comprising:
a computing device (102) comprising a processor (104) operatively couped to the computing device, the processor configured to:
generate, a set of signals pertaining to transmit pulse profile based on first set of parameters, said first set of parameters pertaining to any or a combination of operating frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation; and
synthesize, the generated set of signals to incorporate a second set of parameters on the generated set of signals, wherein, said second set of parameters pertaining to any or a combination of generation of multi-frequency colour signal, generation of transmitter front-end electronics data, doppler data, underwater noise data and receiver front-end electronics data.
2. The system as claimed in claim 1, wherein the processor (104) generates transmit pulse profile, wherein resolution variation is implemented using any or a combination of transmit pulse windowing and beam sharpening approach.
3. The system as claimed in claim 1, wherein the processor (104) generates multi-frequency colour signal based on any or a combination of a single frequency interpolation using a four-degree intensity polynomial expression with offsetting achieving least error, dual frequency curve interpolation based on reference intensity curve and reflection of three frequencies without additional curve interpolation.
4. The system as claimed in claim 1, wherein a processor (104) generates transmitter front-end electronics data, wherein distortion of transmitter front-end electronics data is modelled for a predefined frequency range, wherein the distortion is modelled using transmitter transducer admittance and power amplifier gain generated by curve interpolation and curve fitting approach.
5. The system as claimed in claim 1, wherein the processor (104) generates doppler data, wherein resolution variation is implemented based on tow speed using doppler effect for the predefined frequency range.
6. The system as claimed in claim 1, wherein the processor (104) generates underwater noise data pertaining to any or a combination of sea states, marine life noise, ambient noise, wind noise, wave noise, rain noise, shipping noise, radiated noise, self, and thermal noise.
7. The system as claimed in claim 6, wherein the underwater noise data is modelled for predefined frequency range, wherein the improvement in frequency range of acoustic noise model based on a six-degree polynomial expression generated using curve interpolation and curve fitting approach.
8. The system as claimed in claim 1, wherein the processor (104) generates receiver front-end electronics data, wherein distortion is modelled for predefined frequency range, wherein the distortion is modelled using receiver transducer admittance generated by curve interpolation and curve fitting approach.
9. The system as claimed in claim 8, wherein receiver front-end electronics distortion is modelled using filter attenuation, and preamplifier gain expression generated by curve interpolation and curve fitting approach.
10. A method (900) for generating spatio-temporal side scan sonar data, said method comprising:
generating (902), at a computing device, a set of signals pertaining to transmit pulse profile based on first set of parameters, said first set of parameters pertaining to any or a combination of operating frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation, and
synthesizing (904), at the computing device, the generated set of signals to incorporate a second set of parameters on the generated set of signals, wherein, said second set of parameters pertaining to any or a combination of generation of multi-frequency colour signal, generation of transmitter front-end electronics data, doppler data, underwater noise data and receiver front-end electronics data.
, Description:TECHNICAL FIELD
[0001] The present disclosure relates, in general, to side scan sonar system, and more specifically, relates to a system and method for pulse profile model for active side scan sonar (SSS) signal simulator.

BACKGROUND
[0002] Sonar system is an apparatus for estimating a direction and a range of an underwater target using sound waves. Active side scan sonar systems are a category of sonar system to map the topography of the underwater seabed. Side scan sonar can be provided in different ways and with different levels of resolution. The side scan sonar may include a transmitter to generate a sound beam into a body of water and a receiver to detect the reflections of the sound beam.
[0003] Few exemplary existing technologies in the field of sonar signal simulators predominantly use hardware-based models with fewer model parameters. However, these existing technologies suffer from the limitations of creating a less realistic sonar data at the cost of complex high-end hardware. Therefore, there is a need in the art to provide a means that generates acoustic pulse profile for the active side scan sonar without the use of any application-specific hardware, and thereby reduces the cost required for complex high-end hardware.

OBJECTS OF THE PRESENT DISCLOSURE
[0004] An object of the present disclosure relates, in general, to side scan sonar system and more specifically, relates to a system and method for pulse profile model for active side scan sonar signal simulator.
[0005] Another object of the present disclosure is to provide a system that models acoustic pulse profile for an active side scan sonar.
[0006] Another object of the present disclosure is to provide a system that models underwater acoustic noise effects and incorporate the same in the generated pulse profile.
[0007] Another object of the present disclosure is to provide a system that reduces the cost required for complex high-end hardware.
[0008] Yet another object of the present disclosure is to provide a system that uses a simulator device to generate real time signals for side scan sonar without the use of any application-specific hardware.

SUMMARY
[0009] The present disclosure relates, in general, to side scan sonar system, and more specifically, relates to a system and method for pulse profile model for active side scan sonar signal simulator.
[0010] The present disclosure relates to modelling acoustic pulse profile for active side scan sonar. The present disclosure simulates signals specialized for side scan sonar in the active mode of operation and can be used in a simulator device to generate real-time signals for side scan sonar without the use of any application-specific hardware. The present disclosure generates an acoustic signal for a side scan system using a simulated transmitter and receiver transducer array incorporating distortion effects of front-end electronics. The present disclosure models underwater acoustic noise effects and incorporate the same in the generated pulse profile. The methodology consists of a transmit waveform model, transmitter electronics model, doppler model, underwater noise model, and receiver electronics model. The engine can be implemented on any hardware irrespective of their architecture for frequency range between 1KHz to 1MHz.
[0011] The present disclosure generates pulse profile model for active side scan sonar system based on operating frequency, operating bandwidth, pulse width, sampling frequency and modulation scheme. Pulse profile modelling shows the effects of resolution, range and transmit power. Idiosyncrasy of front-end electronics including a transducer for both transmitter and receiver sections are modelled and incorporated. Underwater acoustic noise effects are modelled and incorporated.
[0012] In an aspect, the present disclosure provides a system for generating spatio-temporal side scan sonar data, the system including a computing device comprising a processor operatively couped to the computing device, the processor configured to generate, a set of signals pertaining to transmit pulse profile based on first set of parameters, the first set of parameters pertaining to any or a combination of operating frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation; and synthesize, the generated set of signals to incorporate a second set of parameters on the generated set of signals, wherein, the second set of parameters pertaining to any or a combination of generation of multi-frequency colour signal, generation of transmitter front-end electronics data, doppler data, underwater noise data and receiver front-end electronics data.
[0013] In an embodiment, the processor may generate transmit pulse profile, wherein resolution variation is implemented using any or a combination of transmit pulse windowing and beam sharpening approach.
[0014] In another embodiment, the processor may generate multi-frequency colour signal based on any or a combination of single frequency interpolation using a four-degree intensity polynomial expression with offsetting achieving least error, dual frequency curve interpolation based on reference intensity curve and reflection of three frequencies without additional curve interpolation.
[0015] In another embodiment, the processor may generate transmitter front-end electronics data, wherein distortion of transmitter front-end electronics data is modelled for a predefined frequency range, wherein the distortion is modelled using transmitter transducer admittance and power amplifier gain generated by curve interpolation and curve fitting approach.
[0016] In another embodiment, the processor may generate doppler data, wherein resolution variation is implemented based on tow speed using doppler effect for the predefined frequency range.
[0017] In another embodiment, the processor generates underwater noise data pertaining to any or a combination of sea states, marine life noise, ambient noise, wind noise, wave noise, rain noise, shipping noise, radiated noise, self, and thermal noise.
[0018] In another embodiment, the underwater noise data is modelled for predefined frequency range, wherein the improvement in frequency range of acoustic noise data is based on a six-degree polynomial expression generated using curve interpolation and curve fitting approach.
[0019] In another embodiment, the processor may generate receiver front-end electronics data, wherein distortion is modelled for predefined frequency range, wherein the distortion is modelled using receiver transducer admittance generated by curve interpolation and curve fitting approach.
[0020] In another embodiment, the receiver front-end electronics distortion is modelled using filter attenuation, and preamplifier gain expression generated by curve interpolation and curve fitting approach.
[0021] In an aspect, the present disclosure provides a method for generating spatio-temporal side scan sonar data, the method including generating, at a computing device, a set of signals pertaining to transmit pulse profile based on first set of parameters, the first set of parameters pertaining to any or a combination of operating frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation, and synthesizing, at the computing device, the generated set of signals to incorporate a second set of parameters on the generated set of signals, wherein the second set of parameters pertaining to any or a combination of generation of multi-frequency colour signal, generation of transmitter front-end electronics data, doppler data, underwater noise data and receiver front-end electronics data.
[0022] 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
[0023] The following drawings form part of the present specification and are included to further illustrate aspects of the present disclosure. The disclosure may be better understood by reference to the drawings in combination with the detailed description of the specific embodiments presented herein.
[0024] FIG. 1A illustrates an exemplary functional component of a system, in accordance with an embodiment of the present disclosure.
[0025] FIG. 1B illustrates an exemplary view of a system for generating spatio-temporal side scan sonar data, in accordance with an embodiment of the present disclosure
[0026] FIG. 2 illustrates an exemplary typical pulse modulation schemes used for side scan sonars, in accordance with an embodiment of the present disclosure.
[0027] FIG. 3 illustrates typical windowing functions with respective spectral response, in accordance with an embodiment of the present disclosure.
[0028] FIG. 4 illustrates an exemplary graphical view of the absorption coefficient, in accordance with an embodiment of the present disclosure.
[0029] FIG. 5 illustrates an exemplary flow chart of the colour sonar signal synthesis used for RGB colour mapping of acoustic signals, in accordance with an embodiment of the present disclosure.
[0030] FIG. 6 illustrates an exemplary graphical view of typical impedance-phase curve, in accordance with an embodiment of the present disclosure.
[0031] FIG. 7 illustrates an exemplary view of input and output frequency of doppler effect, in accordance with an embodiment of the present disclosure.
[0032] FIG. 8A to FIG. 8L illustrate exemplary graphical view of noise curves for rain noise, shipping noise, ambient sea noise at different sea states, thermal noise and self-noise, in accordance with an embodiment of the present disclosure.
[0033] FIG. 9 illustrates an exemplary flow diagram of a method for generating spatio-temporal side scan sonar data, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0034] 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. 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.
[0035] 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.
[0036] The present disclosure relates, in general, to side scan sonar system, and more specifically, relates to a system and method for pulse profile model for active side scan sonar signal simulator.
[0037] The present disclosure relates to modelling acoustic pulse profile for side scan sonar system. The present disclosure simulates signals specialized for side scan sonar in the active mode of operation and can be used in a simulator device to generate real-time signals for side scan sonar without the use of any application-specific hardware. The present disclosure generates an acoustic signal for a side scan system using a simulated transmitter and receiver transducer array incorporating distortion effects of front-end electronics. The present disclosure models underwater acoustic noise effects and incorporate the same in the generated pulse profile. The methodology consists of a transmit waveform model, transmitter electronics model, doppler model, underwater noise model, and receiver electronics model. The engine can be implemented on any hardware irrespective of their architecture for frequency range between 1KHz to 1MHz.
[0038] The present disclosure generates pulse profile model for active side scan sonar system based on operating frequency, operating bandwidth, pulse width, sampling frequency and modulation scheme. Pulse profile modelling shows the effects of resolution, range and transmit power. Idiosyncrasy of front-end electronics including a transducer for both transmitter and receiver sections are modelled and incorporated. Underwater acoustic noise effects are modelled and incorporated. The present disclosure can be described in enabling detail in the following examples, which may represent more than one embodiment of the present disclosure.
[0039] FIG. 1A illustrates an exemplary functional component of a system, in accordance with an embodiment of the present disclosure.
[0040] Referring to FIG. 1A, system 100 configured to generate spatio-temporal side scan sonar data for side scan sonar systems. The system 100 may model acoustic pulse profile data also interchangeably referred to pulse profile model for the active side scan sonar system, where the pulse profile data shows the effects of resolution, range and transmit power. The system 100 may include a single board computer (SBC) 102 also interchangeably referred to as a computing device 102. The SBC may include processor 104 also interchangeably referred to as engine 104, monitor/keyboard 106, a display 108 and power supply card 110. The system 100 may utilize different techniques to generate the acoustic pulse profile data.
[0041] In an embodiment, side scan sonar is a category of sonar system to map the topography of the underwater seabed. The side scan sonar may emit conical fan-shaped acoustic pulse over a swath and intensity of reflected signal may be captured, sampled and mapped onto a series of across-track slices. The present disclosure generates the dataset for simulated transmit and receive pulse profiles, underwater noise models and doppler effect for the active side scan sonar operation.
[0042] In an exemplary embodiment, the synthesis of pulse profile model may include any or a combination of transmit pulse profile model, colour signal model, transmitter electronics distortion model, doppler model, underwater acoustic noise model, and receiver electronics distortion model explained in detail below. FIG. 1B illustrates an exemplary view of the system for generating spatio-temporal side scan sonar data, in accordance with an embodiment of the present disclosure As shown in FIG. 1B, the processor 104 may generate transmit pulse profile Tpp in time domain based on first set of parameters also interchangeably referred to as input parameters, where the input parameters pertaining to any or a combination of operating frequency Fc, operating bandwidth Bw, pulse width Tp, sampling frequency Fs and pulse modulation Pm. Across track resolution depends inversely on Bw and directly on Tp, transmission power requirement depends on Pm implemented, Fc determines maximum achievable swath. Doppler tolerant waveforms produce better resolution in case of moving targets. Fs and Tp determine total number of samples present in Tpp.
[0043] The present disclosure may include input parameters that are maximum achievable swath range Ls, operating frequency Fc, operating bandwidth Bw, pulse modulation Pm, pulse time period Tp, sampling frequency Fs, speed of sound Vc, ship/tow speed Vs, and object speed Vo. Output parameters generated are transmit pulse profile Tpp, transmitter front-end electronics model Ttxp, doppler model Tdop, underwater noise model Tnos and receiver front-end electronics model Ttxp.
[0044] In an implementation, the system 100 configured for generating spatio-temporal side scan sonar data, the system may include the computing device comprising the processor 104 operatively couped to the computing device 102. The processor 104 configured to generate, the set of signals pertaining to transmit pulse profile based on first set of parameters, where the first set of parameters pertaining to any or a combination of operating frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation.
[0045] The processor 104 can be configured to synthesize, the generated set of signals to incorporate a second set of parameters on the generated set of signals, the second set of parameters also interchangeably referred to as the output parameters, where the output parameters pertaining to any or a combination of generation of multi-frequency colour signal, generation of transmitter front-end electronics data, doppler data, underwater noise data and receiver front-end electronics data. For example, the processor 104 generates the pulse profile model for side scan sonar system based on operating frequency, operating bandwidth, pulse width, sampling frequency and modulation scheme. Pulse profile modelling shows the effects of resolution, range and transmit power.
[0046] In another embodiment, the processor 104 may synthesize transmit pulse profile Tpp along with windowing effect, based on operating frequency, bandwidth, resolution and swath range characteristics of side scan sonar. The processor 104 may synthesize multi-frequency colour side scan signal, based on dual frequency interpolation technique and incorporate the same in the generated model. The processor 104 may synthesize multi-frequency colour side scan signal, based on a single frequency six-degree polynomial equation estimated using a curve fitting technique on modified Lambertian model and incorporate the same in the generated model. The processor 104 may synthesize multi-frequency colour side scan signal in the spatio-temporal domain, based on the triple frequency and incorporate the same in the generated model.
[0047] The processor 104 may generate multi-frequency colour signal based on any or a combination of the single frequency interpolation using a four-degree intensity polynomial equation/expression with offsetting achieving least error, dual frequency curve interpolation based on reference intensity curve and reflection of three frequencies without additional curve interpolation.
[0048] In another embodiment, the processor 104 may synthesize transmitter electronics distortion model also interchangeably referred to as transmitter electronics distortion data using non-linear frequency response curve based on curve interpolation and curve fitting approach/technique and incorporate the same in the generated model. In the transmitter front-end model, power amplifier and transducer responses are modelled. The processor 104 may synthesize transmitter front-end electronics data using non-linear response over frequency and may generate a time-domain signal Ttxp from Tpp.
[0049] In another embodiment, the processor 104 may synthesize relative motion effects of side scan sonar, based on doppler effect and incorporate the same in the generated model. The processor 104 may synthesize doppler profile also interchangeably referred to as doppler data and may generate doppler profile Tdop from Txp. Doppler frequency shift Fd is estimated based on relative motion of object on seafloor with respect to ship, where Fd may be used to generate Tdop.
[0050] The processor 104 may synthesize underwater acoustic noise model based on any or a combination of sea states, marine life noise, ambient noise, wind noise, wave noise, rain noise, shipping noise, radiated noise, self, and thermal noise and incorporate the same in the generated model. The processor 104 may synthesize underwater noise model also interchangeably referred to as underwater noise data and may generate Tnos from Tdop. Equations synthesized using curve interpolation and curve fitting technique predicts noise attenuation coefficient for Fc.
[0051] In another embodiment, the processor 104 may synthesize receiver electronics distortion model using the nonlinear frequency response curve based on curve interpolation and curve fitting and incorporate the same in the generated model. In the receiver front-end model, protection circuitry clamping, noise filter attenuation, pre-amplifier gain, sampling circuitry and transducer responses are modelled. The processor 104 may synthesize receiver front-end electronics model also interchangeably referred to as receiver front-end electronics data using non-linear response over frequency and may generate time-domain signal Trxp from Tnos.
[0052] In another embodiment, the system 100 may include the SBC 102 with input/output IO devices like keyboard/mouse 106 and monitor 106, where the above algorithms are implemented to generate the active side scan pulse profile data. The system 100 can be realized on any hardware irrespective of their architecture. In an exemplary embodiment, a single-core processor-based board having base frequency of 1GHz is used for system implementation. The system 100 can be realized on any hardware irrespective of their architecture. Minimum processor features required depends on the end-user application.
[0053] Thus, the system 100 models the acoustic pulse profile for the active side scan sonar. The simulator device configured to generate real-time signals for side scan sonar without the use of any application-specific hardware. Further, the cost required for complex high-end hardware can be reduced.
[0054] FIG. 2 illustrates an exemplary typical pulse modulation schemes 200 used for side scan sonars, in accordance with an embodiment of the present disclosure.
[0055] Referring to FIG. 2, the typical pulse modulation schemes used for side scan sonars may include any or a combination of linear frequency modulation, logarithmic frequency modulation, quadratic frequency modulation and hyperbolic frequency modulation is also generated. Hyperbolic waveform is a Doppler tolerant waveform. The linear frequency modulation, is generated using below equation, , where f0 is frequency at t=0, f1 is frequency at t=Tp.
[0056] A logarithmic frequency modulation, is generated using below equation,
[0057] A quadratic frequency modulation for vertex of parabola at (0, f0), is generated using below equation,
else quadratic frequency modulation for vertex of parabola at (Tp, f1), is generated using below equation,
[0058] A hyperbolic frequency modulation, is generated using below equation, f0 and f1 must be non-zero,
Hyperbolic waveform is a doppler tolerant waveform.
[0059] FIG. 3 illustrates typical windowing functions with respective spectral response 300, in accordance with an embodiment of the present disclosure. As shown in FIG. 3, in addition, to resolution and range effects, beam-sharpening or windowing of transmit pulse is implemented. The resolution variation implemented using transmit pulse profile based on center frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation type. The resolution variation is implemented using any or a combination of transmit pulse windowing and beam sharpening approach. The processor 104 may synthesize tri-frequency colour sonar temporal signals using a four-degree polynomial equation based on interpolation and curve fitting technique.
[0060] FIG. 4 illustrates an exemplary graphical view of the absorption coefficient 400, in accordance with an embodiment of the present disclosure.
[0061] FIG. 4 illustrates absorption coefficient variation over the frequency range from 100Hz to 1.8MHz or any required suitable range. Colour sonar may include tri-frequency system, where each frequency is mapped as red, green and blue colour based on the frequency. Lower frequency is mapped as red and higher frequency is mapped as blue. Curve as shown in FIG. 4 gives the equation for interpolating higher and lower frequencies and maps the respective absorption coefficient to estimate intensity for the same.
[0062] In addition, offset value is also estimated with respect to Fc which is then used for calibrating other two frequencies. For example, Fc pulse get an intensity Ifc. From FIG.4, the absorption factor Ab for Fc, is calculated. Difference of Ifc and Ab gives offset. Then lower and higher frequency absorption factor is estimated from equation as Ab_l and Ab_h along with added offset and then respective intensities are calculated. Model incorporates a 4-degree polynomial equation shown below, for frequency range beyond 100Hz to 1MHz using curve interpolation and curve fitting technique. Equation for modified Lambertian model is given below, where f is the frequency of operation for 35 ppt salinity, 10o temperature, pH 8, unity object reflectivity,100m range and unity cosine.
??(??)=(-3*10-11*??4)+(10-7*??3)-(6*10-5*??2)+(0.0356*??)+39.896
[0063] Similar way, for different conditions, equation based on modified equation can be generated in terms of frequency.
[0064] FIG. 5 illustrates an exemplary flow chart of the colour sonar signal synthesis 500 used for RGB colour mapping of acoustic signals, in accordance with an embodiment of the present disclosure. As shown in FIG. 5, the processor 104 may synthesize the multi-frequency colour side scan signal, based on dual frequency interpolation technique and incorporate the same in the generated model. The processor 104 may synthesize multi-frequency colour side scan signal, based on the single frequency six-degree polynomial equation estimated using the curve fitting technique on the modified Lambertian model and incorporate the same in the generated model. The processor 104 may synthesize multi-frequency colour side scan signal in the spatio-temporal domain, based on the triple frequency and incorporate the same in the generated model.
[0065] FIG. 6 illustrates an exemplary graphical view of typical impedance-phase curve, in accordance with an embodiment of the present disclosure.
[0066] The processor 104 may synthesize transmitter electronics distortion model using non-linear frequency response curve based on the curve interpolation and curve fitting approach and incorporate the same in the generated model. In transmitter front-end model, power amplifier and transducer responses are modelled. The transmitter front-end electronics distortion may be modelled for predefined frequency range, for example, frequency range between 1KHz to 1MHz, where the front-end electronics distortion modelled using transmitter transducer admittance equation generated by curve interpolation and curve fitting technique. The front-end electronics distortion modelled using power amplifier gain equations generated by curve interpolation and curve fitting technique.
[0067] As shown in FIG. 6, impedance-phase curve of the transducer whose operating frequency is 100KHz. Curve fitting and interpolation method used to generate impedance and phase response equations over the frequency range of 80KHz to 150KHz or any required suitable range. Depending on operating frequency and bandwidth, similar response curves can be generated and equations can be generated. Similarly, power amplifier frequency response equations are incorporated using the curve fitting techniques over power amplifier response curves.
[0068] The processor 104 may synthesize receiver electronics distortion model, using the nonlinear frequency response curve based on the curve interpolation and curve fitting and incorporate the same in the generated model. In the receiver front-end model, protection circuitry clamping, noise filter attenuation, pre-amplifier gain, sampling circuitry and transducer responses are modelled. The processor 104 may synthesize receiver front-end electronics data using non-linear response over frequency and generates the time-domain signal Trxp from Tnos.
[0069] The receiver front-end electronics distortion may be modelled for the predefined frequency range, for example, frequency range between 1KHz to 1MHz, where front-end electronics distortion modelled using receiver transducer admittance equation generated by curve interpolation and curve fitting approach. The receiver front-end electronics distortion may be modelled using filter attenuation, and preamplifier gain equations generated by curve interpolation and curve fitting approach.
[0070] Curve fitting and interpolation method are used to generate impedance and phase response equations over the frequency range of 80KHz to 150KHz. Depending on the transducer material and operating frequency, similar response curves can be plotted and equations can be generated. Similarly, pre-amplifier gain curve, noise filter attenuation curve and protection circuitry frequency response curve are incorporated considering operating frequency and bandwidth.
[0071] FIG. 7 illustrates an exemplary view of input and output frequency of doppler effect 700, in accordance with an embodiment of the present disclosure. The processor 104 may synthesize doppler profile and generates Tdop from Txp. The resolution variation may be implemented based on tow speed using doppler theory for frequency range between 1KHz to 1MHz. Doppler frequency shift Fd is estimated based on relative motion of the object on the seafloor with respect to ship. Fd is then used to generate Tdop. Doppler frequency, Fd can be estimated using equation below
, where Vo is velocity of object. ± determines direction of motion of object and ship.

[0072] FIG. 8A to FIG. 8L illustrate exemplary graphical view of noise curves 800 for rain noise, shipping noise, ambient sea noise at different sea states, thermal noise and self-noise, in accordance with an embodiment of the present disclosure. The respective curves are interpolated and curve fitted to generate equations shown in FIG. 8A to FIG. 8L respectively. Same is incorporated in synthesizes of underwater noise model to generate noise coefficient over frequency range from 100Hz to 1MHz. Similar curve can be considered for wind noise, wave noise, marine noise and radiation noise and curve fitting can be done to generate respective equations. The processor 104 may synthesize underwater noise model and generates Tnos from Tdop. The improvement in frequency range of acoustic noise model may be based on the 6-degree polynomial equation generated using curve interpolation and curve fitting technique. Equations synthesized using the curve interpolation and curve fitting technique predicts noise attenuation coefficient for Fc.
[0073] FIG. 9 illustrates an exemplary flow diagram of a method for generating spatio-temporal side scan sonar data, in accordance with an embodiment of the present disclosure.
[0074] The method 900 can be implemented using a computing device, which can include one or more processors 104. At block 902, the computing device configured to generate, a set of signals pertaining to transmit pulse profile based on first set of parameters, the first set of parameters pertaining to any or a combination of operating frequency, operating bandwidth, pulse width, sampling frequency and pulse modulation.
[0075] At block 904, the generated set of signals may be synthesized at the computing device to incorporate a second set of parameters on the generated set of signals, where the second set of parameters pertaining to any or a combination of generation of multi-frequency colour signal, generation of transmitter front-end electronics data, doppler data, underwater noise data and receiver front-end electronics data.
[0076] It will be apparent to those skilled in the art that the system 100 of the disclosure may be provided using some or all of the mentioned features and components without departing from the scope of the present disclosure. While various embodiments of the present disclosure have been illustrated and described herein, it will be clear that the disclosure 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 disclosure, as described in the claims.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0077] The present disclosure provides a system that models acoustic pulse profile for an active side scan sonar.
[0078] The present disclosure provides a system that models underwater acoustic noise effects and incorporate the same in the generated pulse profile.
[0079] The present disclosure provides a system that reduces the cost required for complex high-end hardware.
[0080] The present disclosure provides a system that uses a simulator device to generate real time signals for side scan sonar without the use of any application-specific hardware.