基于辨识新算法的电子对抗系统干扰对消  

Adaptive System Identification-Based Interference Cancellation Algorithm

作　　者：宋月丽[1] 黎仁刚 朱振军[1] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003 [2]中船重工集团第七二三研究所,江苏扬州225001

出　　处：《计算机仿真》2013年第3期264-268,共5页Computer Simulation

基　　金：江苏高校优势学科建设工程资助项目(35061101)

摘　　要：收发同时的电子对抗系统常存在隔离问题,采用自适应滤波器对干扰耦合通路进行辨识,消除接收端耦合干扰,能够有效实现收发隔离。考虑到实际侦察接收机接收的雷达信号、接收机内部引入的噪声信号、发射机和接收机微波放大部分的非线性,因素严重影响自适应滤波器的性能。针对上述情况,给出一种平滑梯度估计的变步长最小均方(least meansquare,LMS)算法。仿真结果表明,改进算法同传统变步长LMS算法相比具有相近的收敛速度,但在对抗接收机复杂信号环境上具有显著的优越性能。Electronic countermeasure system always has isolation problem when it sends and receives signals at the same time. Using adaptive filter to identify the interference coupling path to eliminate the interference at the receiv- er can realize transmitter receiver isolation effectively. Considering the radar signals received by the real receiver, the receiver＇s inside noise and nonlinear characteristics in the microwave amplification section of the transmitter and re- ceiver, all these factors working together can seriously affect the performance of adaptive filter. In response to the conditions above, a gradient estimation smoothed variable step-size LMS algorithm was proposed. Simulation results indicate that, compared with traditional variable step-size LMS algorithm, the proposed algorithm has similar conver- ging speed, but its performance against receiver＇ s complex signal environment is significantly superior.

关 键 词：自适应系统辨识 干扰对消 变步长 梯度估计 

分 类 号：TN955[电子电信—信号与信息处理]