Abstract:To relax the heavy requirement of training sample size in the radar High Resolution Range Profile (HRRP) target recognition, a linear dynamic model based recognition method is proposed. Firstly, the statistical characteristic of HRRP’s frequency spectrum is analyzed and considered to be a Wide Sense Stationary (WSS) process. Then a linear dynamic model is employed to model the amplitude of frequency spectrum and an Expectation Maximization (EM) algorithm is adopted to estimate the model parameters. Finally, experimental results based on measured data show that the proposed method can obtain satisfactory recognition accuracy and rejection performance even with a very few training samples.
王鹏辉, 刘宏伟, 杜兰, 潘勉, 张学峰. 基于线性动态模型的雷达高分辨距离像小样本目标识别方法[J]. 电子与信息学报, 2012, 34(2): 305-311.
Wang Peng-Hui, Liu Hong-Wei, Du Lan, Pan Mian, Zhang Xue-Feng. Linear Dynamic Model Based Radar HRRP Target Recognition under Small Training Set Conditions. , 2012, 34(2): 305-311.