1-D RANGE PROFILE IDENTIFICATION OF RADAR TARGETS BASED ON LINEAR INTERPOLATION NEURAL NETWORK
基于线性内插神经网络的雷达目标一维距离像识别

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 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.