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

机译:基于歧义函数的雷达辐射源信号分类新方法

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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  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.
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。提取接收信号的模糊功能并预先预见到二维特性,然后分解为八个小波封装变换(WPT)特性参数,其WPT2和WPT5具有最佳可分性,并用作最后的分类参数。对于不同信号的模糊函数,区分且不敏感到SNR,2 WPT和5是​​可分开的和稳定的。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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