跳频信号的迭代随机共振解调算法

Iterative Stochastic Resonance Demodulation Algorithm of Frequency-Hopping Signal

为提高跳频信号接收系统的解调处理性能,提出基于迭代双稳态随机共振的数字化接收算法。该算法通过数字化的样点筛选过程实现单一随机共振系统处理多个频点上的信号,利用单系统多次迭代提高信道噪声向有用信号的转化程度,设计本地信号通过相干计算消除随机共振带来的信号频率畸变。理论分析和仿真实验结果表明,算法能够实现跳频信号的解调,算法性能随着采样率的提高而增加,且在高倍采样率的条件下,解调性能优于现有单一随机共振检测系统约2 d B。

In order to improve the demodulation performance of frequency-hopping signals, this paper proposes a digital receiving algorithm based on the bistable stochastic resonance. With the digital samples sifting, the algorithm processes multiple frequency signals in one stochastic resonance system. The conversion from channel noise to useful signal is improved with multiple iterations of signal system. Finally, the local signal is designed to eliminate the frequency distortion in stochastic resonance system through the relevant calculation. Theoretical analysis and simulation results show that the algorithm can demodulate frequency-hopping signal, and its performance can be improved with the increase of sampling rate. With high sampling rate, the demodulation performance is 2 dB higher than the existing single random resonance detection system.