计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
12期
316-320
,共5页
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
超寬帶信道估計%混沌%Logistic映射%正交變換%測量矩陣%貝葉斯壓縮感知
초관대신도고계%혼돈%Logistic영사%정교변환%측량구진%패협사압축감지
Ultra-Wide Band ( UWB ) channel estimation%chaos%Logistic mapping%orthogonal transformation%measurement matrix%Bayesian Compressed Sensing( BCS)
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。
通過分析超寬帶信道本身特性，利用混沌序列良好的隨機性，提齣一種基于Logistic混沌序列的超寬帶信道估計方法。通過Logistic映射產生偽隨機序列，對準託普利玆矩陣進行正交變換，產生新的改進型矩陣，併將該矩陣作為壓縮感知的測量矩陣，建立貝葉斯壓縮感知數學模型對超寬帶信道進行估計。倣真結果錶明，在同等的實驗條件下，與傳統的重構算法相比，該方法具有更高的抗譟聲性能和重構精度。
통과분석초관대신도본신특성，이용혼돈서렬량호적수궤성，제출일충기우Logistic혼돈서렬적초관대신도고계방법。통과Logistic영사산생위수궤서렬，대준탁보리자구진진행정교변환，산생신적개진형구진，병장해구진작위압축감지적측량구진，건립패협사압축감지수학모형대초관대신도진행고계。방진결과표명，재동등적실험조건하，여전통적중구산법상비，해방법구유경고적항조성성능화중구정도。
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.
