多特征子空间波形优化设计方法

针对宽带雷达方位不确定的目标识别波形优化设计问题，该文在色噪声背景下提出一种多特征子空间方法，简称为MES方法。它通过各类目标在各个方位下的回波的可分性进行分析，选择多个可以较好体现各类目标回波差异的特征向量，张成多个特征子空间，然后将期望信号投影到这些子空间上形成优化波形。仿真表明，相对于已有方法，该优化方法能更加平衡地增大每一个方位下目标的可分性，从而有效地提高了目标的识别率。

A Method of Waveform Design Based on Multi Eigen-Subspace

Considering issue of target-aspect sensitivities in the waveform design for the recognition of broadband radar targets, a novel method termed Multi Eigen-Subspace (MES) is proposed in the additional of colored noise. The optimization is done via selecting a lot of eigenvectors which can represent the difference between the echoes of different classes of target in all aspect adequately and spanning them to several eigen-subspaces, then the optimized waveform will be obtained by mapping the desired waveform to those eigen-subspaces. The experimental results prove the efficiency of the proposed method. Compared to the available approaches, the MES waveform helps to increase the class separability and obtain the better performance.