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Recognition of polyphase coded signals using time-frequency rate distribution

机译:利用时频比分布识别多相编码信号

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Recognition of low probability of interception (LPI) radar signals is extremely important in electronic support measurement (ESM), or electronics intelligence (ELINT) systems. Polyphase codes including Frank, P1, P2, P3, and P4 code are a kind of LPI signals, which have been a new research hotspot in reconnaissance systems. In this paper, we propose a new recognition method for polyphase coded signals using the time-frequency rate (TFR) distribution. First we use the property of linear frequency modulation (LFM) to distinguish polyphase code from other LPI signals. Then we analyze the differences between polyphase code and LFM, and study the recognition feature of peak slice of the TFR. Finally we propose a hierarchical scheme for the recognition of polyphase coded signals. The simulation experiments results demonstrate that the proposed method has a high accurate recognition rate for various polyphase code, even under low signal to noise ratio (SNR).
机译:在电子支持测量(ESM)或电子情报(ELINT)系统中,识别低拦截(LPI)雷达信号极为重要。包括Frank,P1,P2,P3和P4码的多相码是一种LPI信号,已成为侦察系统中的一个新研究热点。在本文中,我们提出了一种使用时频比(TFR)分布的多相编码信号识别新方法。首先,我们使用线性频率调制(LFM)的特性将多相代码与其他LPI信号区分开。然后,我们分析了多相编码与LFM之间的差异,并研究了TFR峰切片的识别特征。最后,我们提出了一种用于识别多相编码信号的分层方案。仿真实验结果表明,即使在低信噪比的情况下,该方法对各种多相码也具有较高的准确识别率。

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