计算机工程Issue(12)：316-320,5.DOI:10.3969/j.issn.1000-3428.2014.12.060
基于混沌序列的压缩感知超宽带信道估计
Compressed Sensing Ultra-Wide Band Channel Estimation Based on Chaos Sequence
摘要
Abstract
Through the analysis of Ultra-Wide Band( UWB) channel characters,this paper proposes an UWB channel estimation method based on logistic chaos sequence according to the pseudo-random property of chaos sequence. It uses the Logistic chaotic system to generate the pseudo-random sequence, and uses the sequence to construct orthogonal transformation for quasi-Toeplitz modified measurement matrix. This paper presents a Bayesian Compressed Sensing ( BCS) mathematical model. Simulation results show that under the same conditions, the method has better anti-noise ability and recovery accuracy than those of the traditional reconstruction algorithm.关键词
超宽带信道估计/混沌/Logistic映射/正交变换/测量矩阵/贝叶斯压缩感知Key words
Ultra-Wide Band ( UWB ) channel estimation/chaos/Logistic mapping/orthogonal transformation/measurement matrix/Bayesian Compressed Sensing( BCS)分类
信息技术与安全科学引用本文复制引用
李皓天,龙敏..基于混沌序列的压缩感知超宽带信道估计[J].计算机工程,2014,(12):316-320,5.基金项目
国家自然科学基金资助项目(61001004) （61001004）
湖南省教育厅基金资助项目(11B002) （11B002）
湖南省海外名师基金资助项目(2013008)。 （2013008）
