摘要
针对基于Nyquist采样理论的干扰抑制算法在宽频带信号接收处理中受限于信号带宽和现有器件水平的问题,提出了一种压缩域的自适应干扰抑制算法。首先利用压缩感知技术以远低于Nyquist采样率的速率获得信号的压缩测量值;然后基于最小输出能量准则,并结合空间投影技术,利用投影值完成干扰信号的检测和抑制;进一步推导并给出了算法的闭式解及LMS自适应实现过程。理论分析和仿真结果表明,该算法极大地降低了对A/D器件和后端数字处理器件的要求,且无需预知干扰信号在宽频带中的位置先验信息,并对干扰源的个数无限制,具有较强的实用性。
In receiving and processing of wide bandwidth signals,the existing interference mitigation algorithms based on Nyquist theory are confined to the signal bandwidth and device level.To overcome this problem,an algorithm of adaptive interference mitigation in compressed domain is proposed.First,the compressed sensing technology is utilized to acquire the compressed measurements of wide bandwidth mixtures at a sampling rate that is far lower than Nyquist sampling rate.Then,based on minimal output energy criteria and space projection technology,the projected values are used to detect and mitigate the interference signals.Furthermore,the closed-form solution and the LMS realization process of this algorithm are deduced.Theoretical analysis and simulation results show that this algorithm reduces the requirement of the A/D and DSP devices;it does not need prior information about the location of the expected signal and interference signals in the wide spectrum bandwidth and has no restriction on the number of the interference signals;so this algorithm has better practicability.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2012年第6期1587-1591,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
'973'国家重点基础研究发展规划项目(613148)
国家科技重大专项项目(2008ZX03006)
关键词
通信技术
压缩感知
干扰抑制
压缩域滤波
变换域技术
communication
compressed sensing
interference mitigation
compressive domain filtering
transform domain technique
