Abstract:

Radar high resolution range profile (HRRP) is very sensitive to target gesture variation. An effective method is to deal with the HRRPs within an angular sector boundary in which a set of scattering points will not migrate through resolution cells. A mathematical model based on the power spectrum crosscorrelation coefficient method is proposed,which determines the target aspect sector boundary based on the global HRRPs with the iteration algorithm,and the target aspect sector number can be determined simultaneously. Based on the scattering points model theory, the proposed method takes into consideration the change rule of the power spectrum cross correlation coefficient to effectively suppress HRRPs’“violent fluctuation” samples. Compared with the adaptive Gaussian classifier angular sector segmentation method, the proposed method can effectively divide targets’ angularsector with less samples. Compared with the traditional frame segmentation method based on the cross correlation coefficient and the traditional uniform frame segmentation method, the proposed method can effectively reduce the recognition time and computation complexity. Experimental results based on three types of warships and three kinds of civilian vessels field measured data show the efficiency of the proposed method.