雷达波形优化的特征互信息方法

Abstract

Abstract: Aiming at the waveform design problem of broadband radar for the time-shift sensitivities in identification, a novel method called the feature mutual information method is proposed, which is based on the General Water-Filling method in the presence of additive Gaussian colored noise (AGCN). The separability of multiple targets is increased by maximizing the mutual information between the characteristics of the target and the feature extracted. Experimental results prove the efficiency of the proposed method. Compared to the chirp and Water-filling waveform, the signals designed by feature mutual information method has larger mutual information and better identification performance.

Key words: waveform design, mutual information, target recognition, feature extraction

CLC Number:

TN959.1+7

JIU Bo;LIU Hong-wei;LI Li-ya;WU Shun-jun. Feature mutual information method for radar waveform optimization
[J].J4, 2009, 36(1): 139-144.

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Feature mutual information method for radar waveform optimization

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