Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System

doi:10.1007/s12204-019-2136-9

Abstract

Abstract: Aiming at the detection failure of strong noise interference in the dual channel of the dual-sequence frequency hopping (DSFH), the scale transformation stochastic resonance (STSR) is applied for the first time, and the output signal to noise ratio (SNR) is raised effectively, at the same time, the symbol reception is completed for DSFH at low input SNR. Firstly, the radio frequency (RF) and intermediate frequency (IF) signals are analyzed based on the super-heterodyne reception of DSFH; secondly, the equations of probability density function (PDF), output power spectrum and SNR of the STSR output are derived for the IF signal; finally, the algorithm of the optimal matching STSR is proposed with the optimal matching parameters. The simulation results show that the algorithm can effectively solve the detection failure, as the global output SNR of DSFH is strongly improved that the output SNR can reach ?17.72 dB when the input SNR is ?20 dB after the processing of the optimal matching STSR.

Key words: the dual-sequence frequency hopping (DSFH)| detection of weak signal| scale transformation stochastic resonance (STSR)| the optimal matching stochastic resonance

摘要： Aiming at the detection failure of strong noise interference in the dual channel of the dual-sequence frequency hopping (DSFH), the scale transformation stochastic resonance (STSR) is applied for the first time, and the output signal to noise ratio (SNR) is raised effectively, at the same time, the symbol reception is completed for DSFH at low input SNR. Firstly, the radio frequency (RF) and intermediate frequency (IF) signals are analyzed based on the super-heterodyne reception of DSFH; secondly, the equations of probability density function (PDF), output power spectrum and SNR of the STSR output are derived for the IF signal; finally, the algorithm of the optimal matching STSR is proposed with the optimal matching parameters. The simulation results show that the algorithm can effectively solve the detection failure, as the global output SNR of DSFH is strongly improved that the output SNR can reach ?17.72 dB when the input SNR is ?20 dB after the processing of the optimal matching STSR.

关键词: the dual-sequence frequency hopping (DSFH)| detection of weak signal| scale transformation stochastic resonance (STSR)| the optimal matching stochastic resonance

CLC Number:

TP 911

LIU Guangkai (刘广凯), SUN Huixian (孙慧贤), QUAN Houde (全厚德), CUI Peizhang (崔佩璋), ZHU Shilei (朱世磊), CHI Kuo (池阔). Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(6): 775-781.

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