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作 者:周玉梅 蒲俊 李桥龙 邓月华 ZHOU Yumei;PU Jun;LI Qiaolong;DENG Yuehua(Information Engineering University,Zhengzhou 450001,China;Unit 32076,Chengdu 610000,China)
机构地区:[1]信息工程大学,河南郑州450001 [2]32076部队,四川成都610000
出 处:《信息工程大学学报》2022年第3期264-270,301,共8页Journal of Information Engineering University
基 金:科研基金资助项目(WKZ2020—0147/XII)。
摘 要:针对移动通信远距离目标小区信号第三方接收面临同频强干扰的问题,提出一种联合小区搜索与波束形成的干扰抑制方法,实现了对目标弱信号的分离。该方法联合空域匹配滤波与小区搜索算法获得强信号的DOA,通过多级JJM算法抑制强信号后再搜索获得弱信号的DOA。多次迭代,逐个估计干扰和目标的来向。利用信号来向进行波束形成,以抑制干扰、获取弱目标。对DOA估计算法的稳健性进行了理论分析,仿真表明该算法在干扰功率大于目标40 dB时可提取弱信号,验证了其可行性。In order to solve the problem of non-cooperative reception of long-distance target cell signals in mobile communication,an interference suppression method based on cell search and beamforming is proposed to separate the target weak signals.In this method,the DOA of the strong signal is obtained by combining the spatial matched filtering and the cell search algorithm,and the DOA of the weak signal is obtained in the same way after suppressing the strong signal by the multi-stage JJM.After several iterations,the direction of interference and target is estimated one by one.This information is used for beamforming to suppress interference and obtain weak targets.The robustness of the DOA estimation algorithm is analyzed theoretically,and the simulation results show that the algorithm can extract weak signals when the interference power is greater than the target 40 dB,which verifies its feasibility.
分 类 号:TN911.7[电子电信—通信与信息系统]
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