1-D RANGE PROFILE IDENTIFICATION OF RADAR TARGETS BASED ON LINEAR INTERPOLATION NEURAL NETWORK
Sun Guangmin①; Liu Guosui②; Wang Yunhong②
①Department of Electronic Engineering Beijing Polytechnic University Beijing 100022;②Dept. of Electron. Eng., Nanjing University of Science and Technology Nanjing 210094
Abstract:A novel neural network model---Linear Interpolation Neural Network(LINN) has been presented, which is used for radar target identification. And the 1-D range profiles of targets are used as identification feature. It is well known that the 1-D range profile reflects the precise geometric structure feature of a target, but it varies with the pose of the target. The LINN utilizes just the variation information of the 1-D range profile with the pose to improve the identification performance of targets in any posture.
孙光民; 刘国岁; 王蕴红. 基于线性内插神经网络的雷达目标一维距离像识别[J]. 电子与信息学报, 1999, 21(1): 97-103 .
Sun Guangmin①; Liu Guosui②; Wang Yunhong②. 1-D RANGE PROFILE IDENTIFICATION OF RADAR TARGETS BASED ON LINEAR INTERPOLATION NEURAL NETWORK. , 1999, 21(1): 97-103 .