电讯技术2017，Vol.57Issue(9)：986-991,6.DOI:10.3969/j.issn.1001-893x.2017.09.002
基于稀疏系数和多级搜索策略的信号参数估计
Signal Parameter Estimation Based on Sparse Coefficient and Multi-stage Search Strategy
秦国领 1刘艳群 1张广良 1刘旺 1杨力1
作者信息
- 1. 酒泉卫星发射中心,甘肃 酒泉732750
- 折叠
摘要
Abstract
Estimation of signal parameter is the key procedure in blind signal processing,which is very im-portant for subsequence signal capture analysis. In order to solve the problem of signal parameter estima-tion in compressed domain,a new algorithm for signal parameter estimation is proposed. According to the characteristics that the sparse coefficient has same location information between different measurement ma-trix in same sparse dictionary,it realizes the signal parameter interval pre-estimation. It uses the optimal multi-level search strategy to reduce atom numbers in sparse dictionary. Simulations of the linear fre-quence modulation( LFM) signal show that the algorithm obtains high estimation performance and decrea-ses computational complexity.关键词
信号参数估计/压缩感知/稀疏位置估计/多级搜索策略/正交匹配追踪Key words
signal parameter estimation/compressed sensing/sparse location estimation/multi-stage search strategy/orthogonal matching pursuit( OMP)分类
信息技术与安全科学引用本文复制引用
秦国领,刘艳群,张广良,刘旺,杨力..基于稀疏系数和多级搜索策略的信号参数估计[J].电讯技术,2017,57(9):986-991,6.
