A communication signal detection method based on adaptive stochastic resonance

A stochastic resonance, communication signal technology, applied in the field of communication, can solve the problems of not being able to detect the best performance of the signal, limiting the detection of adaptive stochastic resonance communication signal, etc., to improve the detection performance, reduce the communication bit error rate, and improve the communication signal noise. the effect of

Active Publication Date: 2019-01-22
XIDIAN UNIV
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Problems solved by technology

[0005] In real life, the signal and noise are often unknown and cannot be adjusted. The existing shortwave / ultrashortwave communication signal detection methods based on adaptive stochastic resonance only realize the single-parameter structure optimization of system structure parameters or optimize the structure through scale transformation. The parameters are optimized, ignoring the influence of the calculation step size on the communication signal detection
Therefore, neither can make adaptive stochastic resonance achieve the best performance for signal detection
For a certain noise-containing communication signal, how to jointly optimize the system structure parameters and calculation step size is still a difficult problem, which limits the application of adaptive stochastic resonance in actual communication signal detection.

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  • A communication signal detection method based on adaptive stochastic resonance
  • A communication signal detection method based on adaptive stochastic resonance
  • A communication signal detection method based on adaptive stochastic resonance

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Embodiment 1

[0031] In the harsh electromagnetic environment with high background noise and strong interference, shortwave / ultrashortwave communication can realize reliable data transmission, provide the country's minimum early warning and emergency communication guarantee, and has a special important position in the field of communication.

[0032] The existing shortwave / ultrashortwave communication signal detection method based on adaptive stochastic resonance only realizes single-parameter structural optimization of the structural parameters of the stochastic resonance system or optimizes the structural parameters through scale transformation, and the evaluation of the parameters of the stochastic resonance system is not comprehensive enough. The performance of the detected communication signal cannot reach the best, which limits the application in communication signal detection.

[0033] Aiming at this current situation, the present invention proposes a communication signal detection me...

Embodiment 2

[0045] A communication signal detection method based on adaptive stochastic resonance is the same as embodiment 1, and the fitness value of the stochastic resonance system is calculated using the particle swarm optimization algorithm described in step 4 of the present invention. The specific process is as follows:

[0046] 4a) Particle swarm optimization algorithm initialization: The particle swarm optimization algorithm initialization is carried out for a group of particle swarms composed of m particles, and the initial local optimal value is 0, and the global optimal value is also 0. m=120 in this example.

[0047] 4b) Calculate the SNR fitness value and BER fitness value corresponding to the current particle respectively: due to the optimization of the stochastic resonance system structural parameters a, b and the calculation step size h, the corresponding particle swarm space dimension is 3, The position vector of the i-th particle in the particle swarm where x i1 Repre...

Embodiment 3

[0057] A communication signal detection method based on adaptive stochastic resonance is the same as that in embodiment 1-2, and the SNR fitness value corresponding to the current particle is calculated as described in step 4b) of the present invention, and the SNR is a measure of the quality of the output signal Index, under the combined effect of the structural parameters a, b of the stochastic resonance system and the calculation step size h, the signal-to-noise ratio of the output signal x(t) of the stochastic resonance system is estimated, and the stochastic resonance output signal-to-noise ratio can be recorded as SNR(a ,b,h), based on the theory of circular statistics, the output signal x(t) is approximately regarded as the superposition of noise and signal, and E[x(t)] is used to approximate the output signal, then the output noise is x(t)- E[x(t)], according to the definition of SNR, the output SNR of stochastic resonance system can be calculated as:

[0058]

[00...

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Abstract

The invention discloses a communication signal detection method based on adaptive stochastic resonance. The problem that the system structure parameters and the calculation step size of the stochasticresonance in the prior art are difficult to be selected is solved. The method comprises the following steps of: inputting a communication signal, determining parameters of the particle swarm and initializing the parameters; sampling the received signal in time; establishing a model of adaptive stochastic resonance system; calculating fitness of stochastic resonance system by particle swarm optimization algorithm; determining whether the iteration is terminated; outputting detected signal. A particle swarm is established by taking a stochastic resonance system as a model, Particle Swarm Optimization (PSO) is used to obtain the optimal structural parameters of the adaptive stochastic resonance (ASR) system. The output signal-to-noise ratio (SNR) and bit error rate (BER) are used as fitnessvalues. The weak signal under noise background can be detected optimally. The invention greatly improves the output signal-to-noise ratio, reduces the bit error rate, and is used for digital signal detection.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to wireless communication signal detection, in particular to a communication signal detection method based on adaptive stochastic resonance, which can be used to improve the detection performance of a stochastic resonance system for communication signals. Background technique [0002] In the harsh electromagnetic environment with high background noise and strong interference, shortwave / ultrashortwave frequency band communication can realize reliable data transmission, provide the country's minimum early warning and emergency communication guarantee, and has a special important position in the field of communication. The United States has elevated emergency communications to a national infrastructure and established a more complete emergency communications network "global command and control system." Many developed countries such as Japan and the European Union have...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/309H04B17/336
CPCH04B17/309H04B17/336
Inventor 梁琳琳孙智伟李赞王凡梁雁冰张妮娜王丹洋王婷婷
Owner XIDIAN UNIV
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