Abstract

Parameter-tuning stochastic resonance can effectively use noise to enhance signal energy, whereas its system parameters are hard to select, and how to combine it with more practical signals needs to be researched. In this study, the IF (intermediate frequency) digital signal with low SNR (signal-noise ratio) is selected as the research object, and the measuring function based on SVD (singular value decomposition) that is not dependent on prior knowledge is proposed as the evaluation function to optimize the parameters of stochastic resonance system. The nature of the stochastic resonance is first described from the eigenspace of the signal. After the analysis of the effects of different system parameters, amplitude normalization is employed to optimize only one parameter, simplifying the algorithm. Finally, an adaptive parameter-tuning stochastic resonance method based on AFSA (artificial fish swarm algorithm) is developed for three types of modulated signals, achieving an optimum matching of noisy signals and non-linear systems at fast convergence speed. According to the simulation, the proposed algorithm is proven effective, efficient, and robust, laying a solid foundation for the subsequent signal processing work.

Highlights

  • In the non-cooperative communication system as shown in Fig. 1, the received digital signals are often weak and at low Signal-noise ratio (SNR)

  • Given that the prior knowledge of the transmitted signals cannot be gained in advance, if the information contained in the signals is to be acquired, the blind signal processing technique must be used to estimate the necessary parameters before demodulation and information recovery

  • 2.1 Intermediate frequency (IF) digital signal IF digital signal refers to the digital signal whose carrier frequency is maintained at a predetermined value which is between baseband and radio frequency (RF) after down-conversion processing

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Summary

Introduction

In the non-cooperative communication system as shown in Fig. 1, the received digital signals are often weak and at low SNR. (2) Multiple phase shift keying (MPSK) uses the phase change of carrier to transmit digital information, and its time domain expression is:. IF digital signal, as the input, can be regarded as the single frequency signal with the fixed amplitude and phase in any non-zero symbol interval, which can be expressed by the following equation: sðtÞ 1⁄4 A cosð2πf ct þ φÞ ð5Þ where kTs ≤ t ≤ (k + 1)Ts, k = 1, 2, ...

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