Levy噪声下基于自适应级联三稳随机共振的4FSK信号检测

4FSK Signal detection based on adaptive cascaded tristable stochastic resonance under Levy noise

摘要:

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4FSK信号提取新方法,并与4FSK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,4FSK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相较于传统调制解调模型要平均降低了4%,且时域图像更为清晰,毛刺明显减少,频谱幅值大幅提升。该实验的成功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。

Abstract:

For the problem of low efficiency of digital signal detection in the background of Levy noise, a new method based on adaptive cascaded tristable stochastic resonance is proposed in contrast with the traditional modem model of 4FSK signal. The output signal bit error rate (BER) of the adaptive cascaded tristable stochastic resonance system model and conventional models is simulated and compared. Numerical simulation experimental results show that compared with the traditional model, the output BER of the 4FSK signal after demodulation of the adaptive cascaded tristable stochastic resonance system model is reduced by 4% on average compared with the traditional modem model. The time domain image is clearer, the burrs are significantly reduced and the spectral amplitude is greatly improved. The success of this experiment shows that the stochastic resonance system has great prospects in digital signal detection in impact environment.