Preprint Brief Report Version 1 This version is not peer-reviewed

Weak Frequency Band Signal Spectral Detection Based on Pre-Whitening Scale-Transformation Symmetric Bistable Parallel Stochastic Resonance

Version 1 : Received: 15 July 2024 / Approved: 15 July 2024 / Online: 15 July 2024 (17:11:16 CEST)

How to cite: Qin, Z.; Xie, T.; Xie, C.; He, D. Weak Frequency Band Signal Spectral Detection Based on Pre-Whitening Scale-Transformation Symmetric Bistable Parallel Stochastic Resonance. Preprints 2024, 2024071163. https://doi.org/10.20944/preprints202407.1163.v1 Qin, Z.; Xie, T.; Xie, C.; He, D. Weak Frequency Band Signal Spectral Detection Based on Pre-Whitening Scale-Transformation Symmetric Bistable Parallel Stochastic Resonance. Preprints 2024, 2024071163. https://doi.org/10.20944/preprints202407.1163.v1

Abstract

Weak signal spectral detection is a serious problem in many applications, especially the target possesses certain frequency band and under low signal-to-noise ratio (SNR). A kind of novel technique based on pre-whitening scale-transformation symmetric bistable parallel stochastic resonance (SR) is proposed to solve the problem. Firstly, the pre-whitening can ensure the even distribution of the receiving signal to fit the requirement of SR processing. Secondly, the scale- transformation can help to utilize the weak signal improvement property especially under low frequency band more effectively. Thirdly, the symmetric bistable parallel SR can try to reduce the variance of the clutter and additive noise fluently. Fourthly, by subtracting the steady state re-sponse of the selected symmetric bistable SR system from the parallel SR output, the weak signal spectral detection objective can be realized successfully. Simulation results based on the real sea clutter radar data guarantee the effectiveness and applicability of the proposed symmetric bistable PSR processing approach.

Keywords

signal detection; symmetric bistable parallel stochastic resonance; scale-transformation

Subject

Engineering, Electrical and Electronic Engineering

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