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Adaptive stochastic resonance underwater sound signal detection method based on multi-parameter optimization

A multi-parameter optimization and stochastic resonance technology, which is applied to measuring devices, measuring ultrasonic/sonic/infrasonic waves, instruments, etc., can solve the problems of not fully realizing the advantages of stochastic resonance and being unable to apply offshore underwater communication, etc., to improve detection performance, The effect of reducing the communication bit error rate and increasing the output signal-to-noise ratio gain

Inactive Publication Date: 2019-01-11
XIDIAN UNIV
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Problems solved by technology

[0007] The prior art method only realizes single-parameter structural optimization of system structural parameters or optimizes structural parameters through scale transformation, and ignores the influence of calculation step size on underwater acoustic signal detection, and does not fully realize the advantages of stochastic resonance and cannot be applied to Offshore underwater communication

Method used

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  • Adaptive stochastic resonance underwater sound signal detection method based on multi-parameter optimization
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  • Adaptive stochastic resonance underwater sound signal detection method based on multi-parameter optimization

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Embodiment 1

[0038] The basic principle of the detection of underwater acoustic signals based on adaptive stochastic resonance is to adaptively adjust the structural parameters of the stochastic resonance system according to the characteristics of the complex underwater channel in offshore waters, so that the noise, signal and stochastic resonance system produce resonance characteristics, so as to improve the performance of underwater communication signals. the goal of.

[0039] The prior art method only realizes single-parameter structural optimization of system structural parameters or optimizes structural parameters through scale transformation, and ignores the influence of calculation step size on underwater acoustic signal detection. In a practical sense, the prior art method does not fully realize the advantages of stochastic resonance, and cannot be applied to offshore underwater communications. The purpose of the present invention is to address the shortcomings of the above-mention...

Embodiment 2

[0060] The adaptive stochastic resonance underwater acoustic signal detection method of multi-parameter optimization is the same as embodiment 1, the binary code described in step 2, determines the first structure parameter a of the stochastic resonance system, the second structure parameter b and the calculation step size h according to the following formula Corresponding code lengths l, k and j:

[0061]

[0062] The binary code of system structure parameters a, b and calculation step size h is c l c l-1 c l-2 …c 1 d k d k-1 d k-2 … d 1 e j e j- 1 e j-2 ...e 1 .

[0063] Encoding of the first structure parameter a: Since the interval length is A max -A min =10, in order to ensure the accuracy requirement, at least divide the approximate search range, that is, the interval [0,10] into 10×100 equal parts. because 2 9 =51210 =1024, so the encoded binary string has at least 10 bits, that is, the encoded length of a is l=10, and this is the specific process of ...

Embodiment 3

[0065] The multi-parameter optimized adaptive stochastic resonance underwater acoustic signal detection method is the same as the crossover operator described in step 5 in embodiment 1-2, and the specific process is as follows:

[0066] (1) Randomly pair the groups first;

[0067] (2) Randomly set the intersection position;

[0068] (3) Exchange some genes between paired chromosomes.

[0069] The process is as follows:

[0070]

[0071] In the formula, χ 1 , χ 2 is a group of paired individuals; X 1 , X 2 Two new individuals are generated after two paired individuals pass the crossover operator, p 2 is the crossover probability.

[0072] The present invention regards the multi-parameter global synchronization optimization process similarly as a process of continuous iterative evolution among individuals in the population to adapt to the environment. The evolution of individuals in the population is mainly realized through the crossover of the genes of the individuals...

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Abstract

The invention discloses an adaptive stochastic resonance underwater sound signal detection method based on multi-parameter optimization and solves the problem that stochastic resonance system structural parameters and a calculation step are difficult to select in the prior art. The method disclosed by the invention comprises the following implementation steps: determining search ranges and searchprecisions of multiple parameters of the stochastic resonance system; performing binary coding; initializing population; determining a number of times that individuals in the population are selected;performing a crossover operation; performing a mutation operation; performing binary decoding; receiving an underwater acoustic signal by a receiver; calculating a fitness value; and outputting judgment. The method disclosed by the invention takes output signal-to-noise ratio and bit error rate as fitness function and performs stochastic resonance structural parameters and the calculation step byusing a genetic algorithm, so that a weak underwater sound signal in an offshore underwater complex channel is optimally detected. The method disclosed by the invention greatly improves signal-noise-ratio gain of an output signal, reduces the bit error rate and can be used for underwater signal detection in offshore underwater communication.

Description

technical field [0001] The invention belongs to the technical field of communication, in particular to underwater acoustic signal detection, and in particular to a multi-parameter optimized adaptive stochastic resonance underwater acoustic signal detection method, which can be used to improve the detection performance of underwater acoustic signals in offshore underwater communications. [0002] Through the multi-parameter joint optimization method of stochastic resonance system structure parameters a, b and calculation step size h. Background technique [0003] The marine environment is extremely complex, and compared with the water surface and the air, the transparency is not high. Underwater acoustic communication is a key technology for the development of ocean observation systems, and it is also a form of communication that can realize remote information transmission in underwater wireless communication. To this end, countries around the world are actively promoting the...

Claims

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Application Information

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IPC IPC(8): G01H17/00H04B13/02G06N3/00
CPCG01H17/00G06N3/006H04B13/02
Inventor 梁琳琳王凡李赞王丹洋齐佩汉张妮娜关磊李晨曦赵钟灵王婷婷
Owner XIDIAN UNIV
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