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

机译:一种基于模糊函数的雷达辐射源信号的一种新方法

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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 WPT_2 and WPT_5 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 WPT_2 and WPT_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.
机译:当前方法的分选率对信号噪声比(SNR)不敏感,以解决该问题,提出了一种用于排序雷达辐射源信号的新算法。接收信号的模糊函数被提取并预先测试到二维特性,然后分解为八个小波封装变换(WPT)特征参数,其WPT_2和WPT_5具有最佳可分性并用作最后的排序参数。对于不同信号的歧义功能,不同信号的区分且不敏感到SNR,WPT_2和WPT_5可分开而稳定。通过仿真结果验证了这种新方法的优点,SNR = 10dB的最低排序率为90%。

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