电讯技术2025，Vol.65Issue(2)：269-274,6.DOI:10.20079/j.issn.1001-893x.240302002
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 on Channel Compressed Sensing
摘要
Abstract
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Key words
space-time adaptive anti-jamming/multiple antennas/compressed sensing分类
信息技术与安全科学引用本文复制引用
高柳明,谷斌,贾彦根,张渭乐..基于信道压缩感知的自适应空时抗干扰算法[J].电讯技术,2025,65(2):269-274,6.基金项目
国家自然科学基金资助项目(62071370) （62071370）
深圳供电局2023年科技计划项目(CG0900022001590451) （CG0900022001590451）
