CN113779805A - Ocean noise correlation simulation method and device, equipment and storage medium - Google Patents

Ocean noise correlation simulation method and device, equipment and storage medium Download PDF

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CN113779805A
CN113779805A CN202111087792.7A CN202111087792A CN113779805A CN 113779805 A CN113779805 A CN 113779805A CN 202111087792 A CN202111087792 A CN 202111087792A CN 113779805 A CN113779805 A CN 113779805A
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陆桦
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Beijing Zhongan Intelligent Information Technology Co ltd
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Abstract

The application relates to a method and a device for simulating sea noise correlation, equipment and a storage medium, wherein the method comprises the following steps: acquiring a spectrum level of the marine environment noise and Gaussian white noise, and acquiring a spectrum level signal of the marine environment noise according to the spectrum level of the marine environment noise and the Gaussian white noise; calculating to obtain CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements; based on the CANARY correlation, the marine environmental noise spectrum level signal is simulated to obtain the marine environmental noise with correlation. The method realizes that the space correlation among the marine environmental noises among the array elements is considered in the marine noise simulation process, so that the final simulated result is more matched with the actual condition, and the accuracy of the marine noise simulation result is effectively improved.

Description

Ocean noise correlation simulation method and device, equipment and storage medium
Technical Field
The present application relates to the field of marine noise simulation technologies, and in particular, to a method and an apparatus for marine noise correlation simulation, a device and a storage medium.
Background
In the ocean, ambient noise is associated with a particular environment. The noise generation factors are generally uncontrollable, and the environmental noise is defined as the noise left after all the single identifiable sound sources are removed, and possible noise sources include turbulence, shipping, wave motion, thermal disturbance, earthquake, rainfall, marine life, and ice layer breaking. The spatial correlation of the noise is a statistic which reflects the characteristics of the noise and has important significance for the design of a sonar receiving matrix. Most of the current marine environmental noise simulation focuses on the simulation of the spectral level characteristics of marine environment of a single array element, and the simulation of the spatial correlation of the marine environmental noise among the array elements of the underwater acoustic array is less. The spacing between the array elements of the underwater acoustic array is limited, certain spatial correlation exists between the marine environmental noises between the array elements, and the simulation of neglecting the spatial correlation of the marine environmental noises between the array elements of the underwater acoustic array is inconsistent with the actual situation, so that the performance difference exists between the simulation debugging and the actual use of the array signal processing algorithm, and even the problem of failure of the system in the actual use occurs.
Disclosure of Invention
In view of this, the present application provides a method for simulating marine noise correlation, which can effectively improve the accuracy of a marine environmental noise simulation result.
According to an aspect of the present application, there is provided a marine noise correlation simulation method, including:
obtaining a spectrum level of the marine environment noise and Gaussian white noise, and obtaining a spectrum level signal of the marine environment noise according to the spectrum level of the marine environment noise and the Gaussian white noise;
calculating to obtain CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements;
and simulating the marine environment noise spectrum level signal based on the CANARY correlation to obtain the marine environment noise with correlation.
In one possible implementation, the spectral level of the marine environmental noise is obtained based on a look-up table model of the environmental noise level versus the frequency and sea state level.
In a possible implementation manner, when the marine environmental noise spectrum level is obtained based on the comparison table model of the environmental noise level, the frequency and the sea state level, the method includes a step of performing interpolation processing on the obtained marine environmental noise spectrum level.
In a possible implementation manner, obtaining a spectrum level signal of the marine environmental noise according to the spectrum level of the marine environmental noise and gaussian white noise includes:
performing inverse Fourier transform on the spectrum level of the marine environment noise to obtain an FIR filter;
and convolving the FIR filter with the Gaussian white noise to obtain the spectrum level signal of the marine environment noise.
In a possible implementation mode, the CANARY correlation of the hydrophone array elements is calculated and obtained by adopting a CANARY model based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements.
In one possible implementation, when the CANARY correlation is obtained by using a CANARY model, the CANARY correlation is calculated according to the following formula:
Figure BDA0003266148710000021
wherein,
Figure BDA0003266148710000022
d is the array element spacing, gamma is the array element pitch angle, thetarIs the incident angle of the eigen-acoustic ray, k is the wave number, ApIs the amplitude of the sound ray, p is the intrinsic sound ray path number, r is the unit sound source at distance from the sea surface received by the receiver, zrIs the receiver depth, g (θ)s) Taking g (theta) as the directivity of the noise sources)＝sinθs，θsThe intrinsic sound ray emergence angle is obtained by easily calculating the intrinsic sound ray through BELLHOP, phi is the azimuth angle of the sound source, and xi is the included angle between the incident sound ray and the connecting line of the hydrophone pair.
In one possible implementation manner, simulating the spectrum level signal of the marine environmental noise based on the CANARY correlation to obtain the marine environmental noise with correlation includes:
performing eigenvalue decomposition on the CANARY correlation;
and according to the characteristic value decomposition result, simulating the marine environment noise spectrum level signal to obtain marine environment noise with correlation.
According to another aspect of the present application, there is also provided a marine noise correlation simulation apparatus, including: the system comprises a noise spectrum level acquisition module, a white noise acquisition module, a noise spectrum level signal acquisition module, a correlation calculation module and a noise signal simulation module;
the noise spectrum level acquisition module is configured to acquire a marine environment noise spectrum level;
the white noise acquisition module is configured to acquire Gaussian white noise;
the noise spectrum level signal acquisition module is configured to obtain a marine environment noise spectrum level signal according to the marine environment noise spectrum level and Gaussian white noise;
the correlation calculation module is configured to calculate and obtain the CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements;
the noise signal simulation module is configured to simulate the marine environment noise spectrum level signal to obtain marine environment noise with correlation based on the CANARY correlation.
According to another aspect of the present application, there is also provided a marine noise correlation simulation apparatus, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the executable instructions to implement any of the methods described above.
According to another aspect of the present application, there is also provided a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of any of the preceding.
The CANARY correlation of the hydrophone array elements is obtained through calculation based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements, and then the marine environmental noise spectrum level signals are simulated based on the CANARY correlation obtained through calculation to obtain marine environmental noise with correlation.
Other features and aspects of the present application will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the application and, together with the description, serve to explain the principles of the application.
FIG. 1 shows a flow chart of a marine noise correlation simulation method of an embodiment of the application;
FIG. 2 illustrates another flow chart of a marine noise correlation simulation method of an embodiment of the present application;
fig. 3 is a schematic diagram illustrating CANARY correlation of a computed hydrophone array element in the ocean noise correlation simulation method according to the embodiment of the application;
FIG. 4 is a block diagram illustrating a structure of a marine noise correlation simulation apparatus according to an embodiment of the present application;
fig. 5 shows a block diagram of a marine noise correlation simulation apparatus according to an embodiment of the present application.
Detailed Description
Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present application. It will be understood by those skilled in the art that the present application may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present application.
FIG. 1 shows a flow chart of a marine noise correlation simulation method according to an embodiment of the application. As shown in fig. 1, the method includes: and S100, acquiring the spectrum level of the marine environment noise and Gaussian white noise, and acquiring a marine environment noise spectrum level signal according to the spectrum level of the marine environment noise and the Gaussian white noise. And step S200, calculating to obtain CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements. And step S300, simulating the spectrum level signal of the marine environmental noise based on the CANARY correlation to obtain the marine environmental noise with correlation.
Therefore, when marine noise simulation is performed, the CANARY correlation of the hydrophone array elements is obtained through calculation based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements, then the CANARY correlation of the hydrophone array elements is obtained through simulation of the marine environment noise spectrum level signals based on the CANARY correlation obtained through calculation, marine environment noise with correlation is obtained, the space correlation among the marine environment noise among the array elements is considered in the marine noise simulation process, the final simulated result is matched with the actual situation, and the accuracy of the marine noise simulation result is effectively improved.
Wherein, when obtaining the spectrum level of the marine environmental noise, the spectrum level can be obtained based on a comparison table model of the environmental noise level, the frequency and the sea state level. That is, referring to table 1, in the method of the embodiment of the present application, when acquiring the marine environmental noise spectrum level, the marine environmental noise spectrum level may be calculated using a cross-reference model of the environmental noise level with the frequency and sea state level (SS). Wherein, the spectrum level of the marine environmental noise corresponding to the discrete points is given as follows:
TABLE 1 spectral levels of noise in marine environments
Figure BDA0003266148710000051
Figure BDA0003266148710000061
Figure BDA0003266148710000071
Figure BDA0003266148710000081
Further, referring to fig. 2, when the marine environmental noise spectrum level is obtained based on the above-mentioned look-up table model of the environmental noise level, the frequency and the sea state level through step S110, step S120 of performing interpolation processing on the obtained marine environmental noise spectrum level is further included. Namely, interpolation refinement is carried out on the discrete points of the spectrum level of the marine environmental noise by adopting an interpolation method, so as to obtain the spectrum levels of the marine environmental noise at different frequency points.
In a possible implementation manner, when the interpolation method is used for carrying out interpolation refinement on the discrete points at the spectrum level of the noise in the marine environment, the interpolation refinement can be realized based on a cubic spline interpolation function.
Specifically, when performing interpolation refinement on the obtained spectrum level of the marine environmental noise of the discrete points based on a cubic spline interpolation function, the method includes:
for a given frequency interval f0,fN]Measuring the frequency fi(i-0, 1.., N), corresponding to a marine environmental noise spectrum level of ELfi(i ═ 0, 1.., N). Assume each frequency interval [ fi,fi+1]The spectral level curve piecewise function of the environmental noise is Si(f)＝Aif3+Bif2+Cif+Di(i ═ 0,1,.., N-1), which satisfies the condition:
each actual measuring point is continuous
Si-1(fi)＝ELfi＝Si(fi)
At each real point, the first derivative exists and continues
S′i-1(fi)＝mi＝S′i(fi)
Assume the first derivative miIf (i ═ 0, 1., N) is known, then in the frequency interval [ f ═ fi,fi+1]The cubic spline interpolation function of (1) is:
Figure BDA0003266148710000082
let Δ fi＝fi+1-fiThen, then
Figure BDA0003266148710000091
Find miA function curve s (f) is obtained (i ═ 0, 1.,. N). Let us assume the second derivative S' of the end point of a given frequency interval0(f0)＝M0,S″N-1(fN)＝MNIt is known to solve the system of equations
Figure BDA0003266148710000092
To obtain mi. In the formula:
Figure BDA0003266148710000093
Figure BDA0003266148710000094
gi＝3(λiS[fi-1,fi]+μiS[fi,fi+1])(i＝1,2,...,N-1)。
Figure BDA0003266148710000095
Figure BDA0003266148710000096
further, in the method of the embodiment of the present application, the white gaussian noise can be obtained (i.e., step S140) by generating a random sequence following a gaussian distribution. Wherein, in one possible implementation, the probability density function of the white gaussian noise n generated by the random sequence obeying the gaussian distribution is:
Figure BDA0003266148710000097
where μ and σ denote the mean and standard deviation of the gaussian distribution, respectively.
After the marine environment noise spectrum level and the Gaussian white noise are obtained in any one of the manners, the marine environment noise spectrum level signal can be obtained according to the marine environment noise spectrum level and the Gaussian white noise. In one possible implementation manner, when obtaining the spectrum level signal of the marine environmental noise according to the spectrum level of the marine environmental noise and the white gaussian noise, first, performing inverse fourier transform on the spectrum level of the marine environmental noise to obtain an FIR filter (i.e., step S130). And then, convolving the FIR filter with the Gaussian white noise to obtain the spectrum level signal of the noise of the marine environment.
Namely, performing inverse fourier transform on the spectrum level s (f) of the interpolated marine environmental noise to obtain an FIR filter: FIR ═ IFFT (s (f)). Then, convolving the obtained FIR filter with the obtained Gaussian white noise to obtain a signal meeting the spectrum level of the noise of the marine environment: s is FIR n. Where denotes the convolution operation.
Further, in the method of the embodiment of the present application, based on the array element pitch, the array element pitch angle, and the sound source characteristic of the hydrophone array element, the CANARY correlation of the hydrophone array element may be calculated by using a CANARY model (i.e., step S210). As shown in fig. 3, when calculating the correlation of the hydrophone array elements using the CANARY model, the correlation is implemented by performing ray processing on acoustic propagation.
Specifically, the calculation can be obtained by the following formula:
Figure BDA0003266148710000101
wherein,
Figure BDA0003266148710000102
d is the array element spacing, gamma is the array element pitch angle, thetarIs the incident angle of the eigen-acoustic ray, k is the wave number, ApIs the amplitude of the sound ray, p is the intrinsic sound ray path number, r is the unit sound source at distance from the sea surface received by the receiver, zrIs the receiver depth, g (θ)s) Taking g (theta) as the directivity of the noise sources)＝sinθs，θsThe intrinsic sound ray emergence angle is obtained by easily calculating the intrinsic sound ray through BELLHOP, phi is the azimuth angle of the sound source, and xi is the included angle between the incident sound ray and the connecting line of the hydrophone pair.
In addition, referring to fig. 2, in a possible implementation, based on the CANARY correlation, the simulating the spectrum level signal of the marine environmental noise to obtain the marine environmental noise with correlation includes: step S310, carrying out eigenvalue decomposition on the CANARY correlation; and S320, simulating the spectrum level signal of the marine environmental noise according to the characteristic value decomposition result to obtain the marine environmental noise with correlation.
Wherein, when the characteristic value decomposition is carried out on the CANARY correlation, the rho is causedij＝ρjiTherefore, it is a semi-positive definite matrix, and must be able to perform eigenvalue decomposition,
Figure BDA0003266148710000111
order to
Figure BDA0003266148710000112
Then
ρ＝AAH
Wherein, U and E represent the feature matrix and the feature vector of the matrix, respectively.
According to the characteristic value decomposition result, when the marine environmental noise spectrum level signal is simulated to obtain the marine environmental noise with correlation, the marine environmental noise with correlation can be obtained according to the formula: s' ═ As was simulated.
Correspondingly, based on any one of the marine noise correlation simulation methods, the application also provides a marine noise correlation simulation device. Because the working principle of the marine noise correlation simulation device provided by the application is the same as or similar to that of the marine noise correlation simulation method provided by the application, repeated parts are not repeated.
Referring to fig. 4, the marine noise correlation simulation apparatus 100 provided by the present application includes a noise spectrum level acquisition module 110, a white noise acquisition module 120, a noise spectrum level signal acquisition module 130, a correlation calculation module 140, and a noise signal simulation module 150. Wherein the noise spectrum level obtaining module 110 is configured to obtain a marine environment noise spectrum level. A white noise obtaining module 120 configured to obtain white gaussian noise. And a noise spectrum level signal obtaining module 130 configured to obtain a marine environment noise spectrum level signal according to the marine environment noise spectrum level and the gaussian white noise. And the correlation calculation module 140 is configured to calculate the CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements. And the noise signal simulation module 150 is configured to simulate the marine environment noise spectrum level signal to obtain the marine environment noise with correlation based on the CANARY correlation.
Still further, according to another aspect of the present application, there is also provided a marine noise correlation simulation apparatus 200. Referring to fig. 5, the marine noise correlation simulation apparatus 200 according to the embodiment of the present application includes a processor 210 and a memory 220 for storing instructions executable by the processor 210. Wherein the processor 210 is configured to execute the executable instructions to implement any of the above-described ocean noise correlation simulation methods.
Here, it should be noted that the number of the processors 210 may be one or more. Meanwhile, in the marine noise correlation simulation apparatus 200 according to the embodiment of the present application, an input device 230 and an output device 240 may be further included. The processor 210, the memory 220, the input device 230, and the output device 240 may be connected via a bus, or may be connected via other methods, which is not limited in detail herein.
The memory 220, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and various modules, such as: the marine noise correlation simulation method provided by the embodiment of the application corresponds to a program or a module. The processor 210 executes various functional applications and data processing of the marine noise correlation simulation apparatus 200 by executing software programs or modules stored in the memory 220.
The input device 230 may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings and function control of the device/terminal/server. The output device 240 may include a display device such as a display screen.
According to another aspect of the present application, there is also provided a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by the processor 210, implement any of the above-described marine noise correlation simulation methods.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. A method for simulating sea noise correlation is characterized by comprising the following steps:
obtaining a spectrum level of the marine environment noise and Gaussian white noise, and obtaining a spectrum level signal of the marine environment noise according to the spectrum level of the marine environment noise and the Gaussian white noise;
calculating to obtain CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements;
and simulating the marine environment noise spectrum level signal based on the CANARY correlation to obtain the marine environment noise with correlation.
2. The method of claim 1, wherein obtaining the spectral level of the marine environmental noise is based on a look-up table model of the environmental noise level versus frequency and sea state level.
3. The method of claim 2, wherein obtaining the spectral level of marine environmental noise based on a look-up table model of environmental noise level versus frequency and sea state level comprises the step of interpolating the obtained spectral level of marine environmental noise.
4. The method of claim 1, wherein deriving a marine environment noise spectrum level signal from the marine environment noise spectrum level and gaussian white noise comprises:
performing inverse Fourier transform on the spectrum level of the marine environment noise to obtain an FIR filter;
and convolving the FIR filter with the Gaussian white noise to obtain the spectrum level signal of the marine environment noise.
5. The method of claim 1, wherein the CANARY correlation of the hydrophone array elements is calculated by using a CANARY model based on array element spacing, array element pitch angle and sound source characteristics of the hydrophone array elements.
6. The method of claim 5, wherein when the CANARY correlation is computed using a CANARY model, the CANARY correlation is computed according to the following equation:
Figure FDA0003266148700000011
wherein,
Figure FDA0003266148700000021
d is the array element spacing, gamma is the array element pitch angle, thetarIs the incident angle of the eigen-acoustic ray, k is the wave number, ApIs the amplitude of the sound ray, p is the intrinsic sound ray path number, r is the unit sound source at distance from the sea surface received by the receiver, zrIs the receiver depth, g (θ)s) Taking g (theta) as the directivity of the noise sources)＝sinθs，θsThe intrinsic sound ray emergence angle is obtained by easily calculating the intrinsic sound ray through BELLHOP, phi is the azimuth angle of the sound source, and xi is the included angle between the incident sound ray and the connecting line of the hydrophone pair.
7. The method of any one of claims 1 to 6, wherein simulating the spectral level signal of the marine environmental noise based on the CANARY correlation results in a marine environmental noise having a correlation, comprising:
performing eigenvalue decomposition on the CANARY correlation;
and according to the characteristic value decomposition result, simulating the marine environment noise spectrum level signal to obtain marine environment noise with correlation.
8. An ocean noise correlation simulation apparatus, comprising: the system comprises a noise spectrum level acquisition module, a white noise acquisition module, a noise spectrum level signal acquisition module, a correlation calculation module and a noise signal simulation module;
the noise spectrum level acquisition module is configured to acquire a marine environment noise spectrum level;
the white noise acquisition module is configured to acquire Gaussian white noise;
the noise spectrum level signal acquisition module is configured to obtain a marine environment noise spectrum level signal according to the marine environment noise spectrum level and Gaussian white noise;
the correlation calculation module is configured to calculate and obtain the CANARY correlation of the hydrophone array elements based on the array element spacing, the array element pitch angle and the sound source characteristics of the hydrophone array elements;
the noise signal simulation module is configured to simulate the marine environment noise spectrum level signal to obtain marine environment noise with correlation based on the CANARY correlation.
9. An ocean noise correlation simulation apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to carry out the executable instructions when implementing the method of any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 7.
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