Reinforcement learning adaptive stochastic resonance method for underwater weak signal detection

Abstract

A reinforcement learning adaptive stochastic resonance method for underwater weak signal detection comprises the following steps: 1, calculating the signal to noise ratio of a signal before the signal enters a stochastic resonance system; 2, coding possible solutions of parameters a and b of the stochastic resonance system, forming a gene space, and segmenting the gene space into n sub-spaces; 3, creating n Agents, taking the n sub-spaces as action spaces of the n Agents, and initializing each Q value; 4, determining a Q-Learning action and obtaining experience knowledge and a training example; 5, calculating the signal to noise ratio every time and using the signal to noise ratio for evaluation of individual fitness and as an environment reward to update the Q value and carrying out elite retention; 6, determining whether a termination condition is satisfied, outputting the parameters a and b of the round as the optimal parameters if the termination condition is satisfied, or repeating from the action selection step 4 if not satisfied; and 7, using the optimal parameters a and b to achieve the optimal stochastic resonance effect, and calculating the signal to noise ratio of an output signal of the system. If the output signal to noise ratio is greater than the input signal to noise ratio, it is proved that the weak signal is enhanced.

Description

technical field [0001] The invention relates to underwater acoustic communication, and is a reinforcement learning self-adaptive stochastic resonance method for underwater weak signal detection. Background technique [0002] The underwater acoustic communication channel is a time-varying, space-varying, and frequency-varying fading channel with serious noise interference. After the signal passes through the underwater acoustic channel, it is often submerged by a large amount of noise or interference and becomes a weak signal. The underwater acoustic signal detection technology has important significance and application value no matter in theoretical research, practical engineering or even national defense construction. Therefore, it is necessary to study the detection method of weak signals for the progress and development of underwater acoustic communication. [0003] Some traditional signal detection methods, such as matched filtering, coherent detection, and classical sp...

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Problems solved by technology

[0003] Some traditional signal detection methods, such as matched filtering, coherent detection, and classical spectrum analysis, all use the method of suppressing noise. damage

Therefore, under the strong noise background of the underwater acoustic channel, especially for the in-band noise in the same frequency band as the signal, these signal detection techniques are helpless

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