雷达波形优化的特征互信息方法

Feature mutual information method for radar waveform optimization

针对扩展目标识别中距离敏感性的波形优化问题,在通用注水法的基础上提出了基于特征提取的波形优化设计方法,简称为特征互信息方法.该方法通过最大化识别特征与目标特性之间的互信息以达到增加各类目标可分性的目的.仿真结果表明,相对于线性调频信号和注水法优化信号,特征互信息方法优化信号可以得到更大的互信息,并能较好地提高目标的识别性能.

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.