中国物理B ›› 2021, Vol. 30 ›› Issue (8): 80502-080502.doi: 10.1088/1674-1056/abfccc

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A sign-function receiving scheme for sine signals enhanced by stochastic resonance

Zhao-Rui Li(李召瑞)1,†, Bo-Hang Chen(陈博航)1, Hui-Xian Sun(孙慧贤)1, Guang-Kai Liu(刘广凯)2, and Shi-Lei Zhu(朱世磊)1   

  1. 1 Department of Electronics and Optical Engineering, Army Engineering University, Shijiazhuang 050003, China;
    2 Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
  • 收稿日期:2021-02-23 修回日期:2021-04-21 接受日期:2021-04-29 出版日期:2021-07-16 发布日期:2021-07-20
  • 通讯作者: Zhao-Rui Li E-mail:li_zhaorui771212@163.com
  • 基金资助:
    Project supported by the Natural Science Foundation of Hebei Province of China (Grant Nos. F2019506031, F2019506037, and F2020506036), the Frontier Innovation Program of Army Engineering University (Grant No. KYSZJQZL2005), the Basic Frontier Science and Technology Innovation Program of Army Engineering University (Grant No. KYSZJQZL2020).

A sign-function receiving scheme for sine signals enhanced by stochastic resonance

Zhao-Rui Li(李召瑞)1,†, Bo-Hang Chen(陈博航)1, Hui-Xian Sun(孙慧贤)1, Guang-Kai Liu(刘广凯)2, and Shi-Lei Zhu(朱世磊)1   

  1. 1 Department of Electronics and Optical Engineering, Army Engineering University, Shijiazhuang 050003, China;
    2 Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
  • Received:2021-02-23 Revised:2021-04-21 Accepted:2021-04-29 Online:2021-07-16 Published:2021-07-20
  • Contact: Zhao-Rui Li E-mail:li_zhaorui771212@163.com
  • Supported by:
    Project supported by the Natural Science Foundation of Hebei Province of China (Grant Nos. F2019506031, F2019506037, and F2020506036), the Frontier Innovation Program of Army Engineering University (Grant No. KYSZJQZL2005), the Basic Frontier Science and Technology Innovation Program of Army Engineering University (Grant No. KYSZJQZL2020).

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摘要： To address the problem that it is difficult to detect an intermediate frequency (IF) signal at the receiving end of a communication system under extremely low signal-to-noise ratio (SNR) conditions, we propose a stochastic resonance (SR)-enhanced sine-signal detection method based on the sign function. By analyzing the SR mechanism of the sine signal and combining it with the characteristics of a dual-sequence frequency-hopping (DSFH) receiver, a periodic stationary solution of the Fokker-Planck equation (FPE) with a time parameter is obtained. The extreme point of the sine signal is selected as the decision time, and the force law of the electromagnetic particles is analyzed. A receiving structure based on the sign function is proposed to maximize the output difference of the system, and the value condition of the sign function is determined. In order to further improve the detection performance, in combination with the central-limit theorem, the sampling points are averaged N times, and the signal-detection problem is transformed into a hypothesis-testing problem under a Gaussian distribution. The theoretical analysis and simulation experiment results confirm that when N is 100 and the SNR is greater than 20 dB, the bit-error ratio (BER) is less than 1.5×10-2 under conditions in which the signal conforms to the optimal SR parameters.

关键词: stochastic resonance, Fokker-Planck equation, sine signal detection, sign-function receiving structure

Abstract: To address the problem that it is difficult to detect an intermediate frequency (IF) signal at the receiving end of a communication system under extremely low signal-to-noise ratio (SNR) conditions, we propose a stochastic resonance (SR)-enhanced sine-signal detection method based on the sign function. By analyzing the SR mechanism of the sine signal and combining it with the characteristics of a dual-sequence frequency-hopping (DSFH) receiver, a periodic stationary solution of the Fokker-Planck equation (FPE) with a time parameter is obtained. The extreme point of the sine signal is selected as the decision time, and the force law of the electromagnetic particles is analyzed. A receiving structure based on the sign function is proposed to maximize the output difference of the system, and the value condition of the sign function is determined. In order to further improve the detection performance, in combination with the central-limit theorem, the sampling points are averaged N times, and the signal-detection problem is transformed into a hypothesis-testing problem under a Gaussian distribution. The theoretical analysis and simulation experiment results confirm that when N is 100 and the SNR is greater than 20 dB, the bit-error ratio (BER) is less than 1.5×10-2 under conditions in which the signal conforms to the optimal SR parameters.

Key words: stochastic resonance, Fokker-Planck equation, sine signal detection, sign-function receiving structure

中图分类号:  (Fluctuation phenomena, random processes, noise, and Brownian motion)

  • 05.40.-a
02.50.-r (Probability theory, stochastic processes, and statistics)