摘要
拖曳式诱饵干扰条件下目标与诱饵的参数估计和身份辨识是制导雷达实现精确打击的前提条件。不可分辨角度范围内的目标和诱饵引起导引头雷达回波的干涉混叠,导致常规测量方法失效。当目标和诱饵处于相邻的两个匹配滤波采样点之间时,这些采样点所包含的信息将有助于参数估计的获取。通过充分挖掘两个连续匹配滤波采样点所包含的特征信息获得接收回波的概率分布,结合干扰形式和特点采用改进的粒子群优化方法从最大似然估计的角度获取目标与诱饵的对应参数,实现删除二者的身份辨识。各种条件下的仿真实验验证了方法的有效性。
The parameter estimation and identity recognition of targets and decoys under the towed radar active decoy jamming are the precondition for a guided radar to realize precision strike.The unresolved target and decoy result in the radar echoes aliasing and lead the traditional parameter measurement method to fail.When the closely spaced target and decoy fall between two adjacent matched filter samples,the monopulse information from both of these samples can be used and is helpful for parameter estimation.The probability distribution of received echoes is obtained after utilizing the information contained in two consecutive matched filter sampling points.Then the particle swarm optimization method is used to estimate the parameters of targets and decoys.At the same time,based on the characteristic of jamming,the optimization is improved.With the estimation results the identity recognition of target and decoy is realized.Simulation results with different conditions illustrate the performance of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第4期644-651,共8页
Systems Engineering and Electronics
关键词
电子对抗
参数估计
身份辨识
改进粒子群优化
拖曳式有源雷达诱饵
electronic counter measurement（ECM）
parameter estimation
identity recognition
improved particle swarm optimization（IPSO）
towed radar active decoy（TRAD）
