基于稀疏系统辨识的收发隔离方法  

Transceiver Isolation Methods Based on Sparse System Identification

作　　者：郝治理 刘春生 周青松 HAO Zhili;LIU Chunsheng;ZHOU Qingsong(Electronic Engineering College,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]国防科技大学电子对抗学院

出　　处：《探测与控制学报》2019年第6期112-118,共7页Journal of Detection & Control

摘　　要：针对干扰信号耦合路径稀疏存在时,常规的系统辨识方法对稀疏系统的辨识精度下降,无法妥善解决雷达干扰机的收发隔离问题,提出了两种基于稀疏系统辨识的收发隔离方法。这两种方法的共性是在求解路径衰减系数之前,通过加入稀疏约束完成了对主要耦合路径的提取,然后再采用相关方法计算所对应的系数,克服了由于系统噪声对衰减系数为零的路径作用而带来的估计误差。理论分析和仿真结果表明,在稀疏环境下,两种方法对干扰耦合路径的辨识精度要高于最小二乘法。在信噪比较高的环境下,两种方法均适用,但第二种方法的复杂度较高,而在低信噪比环境下,只有第二种方法能够满足隔离需求。它们不影响侦察机同时接收的雷达信号,有效地解决了雷达干扰机的收发隔离问题。In view of the existence of sparse coupling paths of jamming signals,the identification accuracy of the sparse system by conventional system identification methods decreased,and the problem of transceiver isolation of radar jammer could not be solved properly.Two transceiver isolation methods based on sparse system identification were proposed.The common feature of these two methods was that before solving the paths attenuation coefficients,the extraction of the main coupling paths was completed by adding sparse constraints,and then relevant methods are used to calculate the corresponding coefficients,so as to overcome the estimation error caused by the effect of system noise on the paths with the attenuation coefficients being zero.Theoretical analysis and simulation results showed that the accuracy of the two methods was higher than that of the least square method in the sparse environment.Both methods were applicable in the environment with high signal-to-noise ratio,but the second method had a high complexity,while in the environment with low signal-to-noise ratio,only the second method could meet the isolation requirements.

关 键 词：雷达干扰机 收发隔离 稀疏系统辨识 最小二乘估计 

分 类 号：TN97[电子电信—信号与信息处理]