Algorithm research of radar target recognition based on kernel principal component analysis
基于平移不变核主分量分析的雷达目标识别研究*

Kernel principal component analysis(KPCA) algorithm is a kind of important feature extraction algorithm about radar target recognition,but the shift sensitivity of radar target high range resolution profile(HRRP) has make KPCA has its shortcomings when it was used in radar target recognition system.This paper use zero phase representation to get shift-invariant HRRP,using KPCA in feature dimension compression,and proposed BP neural network classification algorithm to realize recognition.Based on themeasured...