%0 Journal Article
%T 1-D RANGE PROFILE IDENTIFICATION OF RADAR TARGETS BASED ON LINEAR INTERPOLATION NEURAL NETWORK<br>基于线性内插神经网络的雷达目标一维距离像识别
%A Sun Guangmin
%A Liu Guosui
%A Wang Yunhong
%A <br>孙光民
%A 刘国岁
%A 王蕴红
%J 电子与信息学报
%D 1999
%I 
%X 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.
%K Radar target identification
%K Neural network
%K 1-D range profile
%K Linear interpolation<br>雷达目标识别
%K 神经网络
%K 一维距离像
%K 线性内插
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=C4D197766604AAD4C1B9CBC3F789BA76&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=C3BF5C58156BEDF0&eid=89F76E117E9BDB76&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=6