基于优化信息算子的UWB信道贝叶斯估计.pdf

基于优化信息算子的UWB信道贝叶斯估计.pdf第 21 卷第 2 .2
Vol No
2014 年 2
Electronics Optics & Control Feb
doi: /. .1671 -637 .
j issn X
基于优化信息算子的 UWB 信道贝叶斯估计
王平, 阮怀林, 樊甫华
(电子工程学院,合肥 230037)
摘要: 针对压缩感知应用于通信信道估计时信息算子的相干性严重影响信道估计精度的问题,提出将
UWB UWB
优化的信息算子和贝叶斯算法相结合的方法。该方法以互累积相干参数为准则,首先将加权信息算子通过最优化与
正则化得到优化的信息算子,最后通过贝叶斯算法重构信道。理论分析和仿真结果表明优化信息算子的相干
UWB
性大大减弱,有效提高了信道估计精度,同时该方法能在较低的压缩比和信噪比条件下实现通信信道的
UWB UWB
准确重建。
关键词: 超宽带通信; 贝叶斯压缩感知; 信息算子; 信道估计; 相干性
中图分类号: ; 文献标志码: 文章编号: 1671 -637 (2014)02 -0036 -05
V TN A X
Bayesian Estimation Algorithm of UWB Channel
Based on the Optimized Sensing Matrix
敞- 敞-
WANG Ping RUAN Huai lin FAN Fu hua
( 敞 230037敞)
Electronic Engineering Institute Hefei China
Abstract: -
The coherence of sensing matrix may affect seriously the estimation accuracy of Ultra Wideband
( ) ( ) 敞
UWB channel based pressive Sensing CS thus a method is proposed bines the
. 敞
optimized sensing matrix with Bayesian algorithm Taking the cross cumulative coherence as the principle
.
the optimized sensing matrix is obtained by optimizing and regularizing the weighted sensing matrix Bayesian
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algorithm is then used to reconstruct the UWB channel Both the theoretical analysis and the experimental
敞
results show that the optimized sensing matrix has weaker pared with the sensing matrix and
. 敞
the estimation acc