全极化雷达的多任务压缩感知目标识别方法

为有效利用全极化雷达高分辨距离像(High Resolution Range Profile,HRRP)的丰富特征信息和全极化样本中各单极化HRRP均对应于相同目标姿态的特性,提出一种基于多任务压缩感知的全极化雷达目标识别方法。该方法约束在不同极化字典中选择来自相同角域的字典原子对相应极化方式下的HRRP进行表示,可以有效利用不同极化HRRP之间的相关信息提高目标识别性能。基于电磁散射数据对所提出的方法进行了测试,实验结果证明了方法的有效性。

Full-polarization HRRP Recognition of Multitask Compressive Sensing

To efficiently utilize the information which can be extracted for target recognition and the character that different polarization channels characterize the same structure signature of a target using different polarization modes to boost recognition performance, a multitask compressive sensing based method for FP-HRRP recognition is proposed. Each single-polarization HRRP is represented by the atoms adaptively selected from its associated dictionary, and these atoms derived from different dictionaries correspond to the same index set. Compared to conventional methods, the proposed method has the significant advantage of exploiting the correlation among single-polarization HRRPs to enhance recognition performance. Experiments are carried out on simulated data, and the results demonstrate the efficiency of the proposed method.