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The united detection of weak MSK signal using Duffing oscillator and Stochastic resonance

机译:Duffing振荡器和随机共振联合检测弱MSK信号

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Concerning the problem that the traditional method is not valid to demodulate the MSK signal, this article is the first time to use Duffing oscillator and Stochastic Resonance to demodulate the MSK signal, a new demodulation method was proposed in this article. First, we put the MSK''s frequency compressed into a low range; then, we put the MSK signal into the Stochastic Resonance system to increase its SNR; later, we use the STFT to detect every code element''s signal''s frequency; finally, the decision device recovers the binary data according to this frequency. In this article, the power spectral entropy and the symbol demarcation point searching device are also the first time be introduced. The MATLAB simulation results show that this method can successfully demodulate the MSK signal, its minimum SNR is in −26dB.
机译:针对传统方法对MSK信号解调无效的问题,本文首次采用Duffing振荡器和随机共振对MSK信号进行解调,提出了一种新的解调方法。首先,我们将MSK的频率压缩到较低的范围;然后,将MSK信号放入随机共振系统以提高其SNR。之后,我们使用STFT来检测每个代码元素的信号频率;最终,决策器根据该频率恢复二进制数据。本文还首次引入了功率谱熵和符号分界点搜索装置。 MATLAB仿真结果表明,该方法可以成功解调MSK信号,其最小SNR为-26dB。

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