Levy噪声下基于自适应级联三稳随机共振的4 FSK信号检测

4 FSK Signal Detection Based on Adaptive Cascaded Tristable Stochastic Resonance under Levy Noise

针对Levy噪声背景下数字信号检测效率较低的问题,提出了一种基于自适应级联三稳态随机共振的4 FSK信号提取新方法,并与4 FSK信号传统调制解调模型作对比;模拟并比较了自适应级联三稳态随机共振系统模型和传统模型的输出信号误码率;数值仿真实验结果表明,与传统调制解调模型相比,4 FSK信号在经过自适应级联三稳态随机共振系统模型解调后的输出信号误码率平均降低了4%,且时域图像更为清晰,毛刺明显减少,频谱幅值大幅提升;该实验结果表明随机共振系统对冲击噪声中的数字信号检测有很强的应用前景。

Aiming at low efficiency problem of digital signal detection in the background for Levy noise,a new method based on adaptive cascaded tristable stochastic resonance is proposed in contrast with the traditional modem model with 4 FSK signal.The output signal bit error rate(BER)of adaptive cascaded tristable stochastic resonance system model and conventional model is simulated and assimilated.compared with the traditional model,numerical simulation experimental results show that,the output BER for the 4 FSK signal is evenly reduced by 4%after the adaptive cascaded tristable stochastic resonance system model is demodulated,and the time domain image is more clearer,the burrs are significantly reduced and the spectral amplitude is greatly improved.The experimental result shows that the stochastic resonance system has strong application prospect of digital signal detection in impact environment.