A Novel Method for Sorting Radar Radiating-Source Signal Based on Ambiguity Function

Jun Han, M. He, Yuan-qing Zhu, Bin-gang Zhu
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引用次数: 1

Abstract

Sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR), in order to solve this problem, a novel algorithm for sorting radar radiating-source signal is proposed. The ambiguity function of received signal is extracted and predigested to two-dimension characteristic, then decomposed into eight wavelet package transformation (WPT) characteristic parameters whose  WPT2 and WPT5 have the best separability and be used as the sorting parameters at last. For ambiguity function of different signal is distinguishing and not sensitive to SNR, the 2 WPT and 5 are divisible and steady. The advantage of this new method is validated by simulation result, and the lowest sorting rate is 90% at SNR=10dB.
基于模糊函数的雷达辐射源信号分选新方法
针对现有方法分选率不高且对信噪比过于敏感的问题,提出了一种新的雷达辐射源信号分选算法。将接收信号的模糊函数提取并简化为二维特征,然后分解为8个小波包变换(WPT)特征参数,其中WPT2和WPT5具有最好的可分性,最后作为分类参数。由于不同信号的模糊函数具有可辨别性,对信噪比不敏感,因此2 WPT和5 WPT可分且稳定。仿真结果验证了该方法的优越性,在信噪比为10dB时,分选率最低可达90%。
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