基于信道压缩感知的自适应空时抗干扰算法  

An Adaptive Space-Time Anti-jamming Algorithm Based onChannel Compressed Sensing

作　　者：高柳明 谷斌 贾彦根 张渭乐[2] GAO Liuming;GU Bin;JIA Yangen;ZHANG Weile(Shenzhen Power Supply Bureau,China Southern Power Grid,Shenzhen 518000,China;School of Information and Communication Engineering,Xi’an Jiaotong University,Xi’an 710049,China)

机构地区：[1]中国南方电网责任有限公司深圳供电局有限公司,广东深圳518000 [2]西安交通大学信息与通信工程学院,西安710049

出　　处：《电讯技术》2025年第2期269-274,共6页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(62071370);深圳供电局2023年科技计划项目(CG0900022001590451)。

摘　　要：针对稀疏信道场景,提出了一种基于压缩感知的自适应空时抗干扰方法。所提方法基于贪婪算法和基于互相关矢量算法对接收端时域滤波器的抽头进行择优选择,利用选择出的一定数量的抽头去完成自适应空时处理。在所提方法中,空时滤波的抽头位置能够自适应地匹配实时的信道稀疏性。数值仿真结果表明,与传统压缩感知的信道估计与均衡方法相比,所提方法具备自适应抗外部干扰能力。与传统固定抽头位置的自适应空时抗干扰方法相比,所提方法可以获得更优的误码率性能,特别是在导频长度比较小时。For sparse channel scenarios,an adaptive space-time equalization method based on compressed sensing is proposed.The proposed method is based on greedy algorithm or cross-correlation vector algorithm to select the taps of the receiving end time domain filter,and uses a certain number of selected taps to complete the adaptive space-time equalization.In the proposed method,the tap position of the space-time filter can adaptively match the real-time channel sparsity.Numerical results show that,compared with traditional compressed sensing channel estimation and equalization methods,the proposed method has the capability of adaptive interference suppression.Compared with traditional adaptive space-time methods with fixed tap positions,the proposed method can achieve better bit error rate performance,especially with smaller pilot length.

关 键 词：空时自适应抗干扰 多天线 压缩感知 

分 类 号：TN975[电子电信—信号与信息处理]