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Computer Engineering ›› 2014, Vol. 40 ›› Issue (12): 316-320. doi: 10.3969/j.issn.1000-3428.2014.12.060

Previous Articles    

Compressed Sensing Ultra-Wide Band Channel Estimation Based on Chaos Sequence

LI Haotian,LONG Min   

  1. College of Computer & Communication Engineering, Changsha University of Science and Technology,Changsha 410004,China
  • Received:2014-01-03 Revised:2014-03-01 Online:2014-12-15 Published:2015-01-16

基于混沌序列的压缩感知超宽带信道估计

李皓天,龙敏   

  1. 长沙理工大学计算机与通信工程学院,长沙 410004
  • 作者简介:李皓天(1989-),男,硕士研究生,主研方向:无线通信;龙 敏,副教授、博士。
  • 基金资助:
    国家自然科学基金资助项目(61001004);湖南省教育厅基金资助项目(11B002);湖南省海外名师基金资助项目(2013008)。

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.

Key words: Ultra-Wide Band(UWB) channel estimation, chaos, Logistic mapping, orthogonal transformation, measurement matrix, Bayesian Compressed Sensing(BCS)

摘要: 通过分析超宽带信道本身特性,利用混沌序列良好的随机性,提出一种基于Logistic混沌序列的超宽带信道估计方法。通过Logistic映射产生伪随机序列,对准托普利兹矩阵进行正交变换,产生新的改进型矩阵,并将该矩阵作为压缩感知的测量矩阵,建立贝叶斯压缩感知数学模型对超宽带信道进行估计。仿真结果表明,在同等的实验条件下,与传统的重构算法相比,该方法具有更高的抗噪声性能和重构精度。

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

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