文献类型：期刊文献

中文题名：基于导频放置优化的组稀疏信道估计方法

英文题名：Group sparse channel estimation method based on pilot placement optimization

作者：马恒达[1];袁伟娜[1];伏威[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2018

卷号：52

期号：9

起止页码：1747

中文期刊名：浙江大学学报（工学版）

外文期刊名：Journal of Zhejiang University：Engineering Science

收录：CSTPCD;;EI(收录号：20184806161390);Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金资助项目(61501187);中央高校基本科研业务费资助项目

语种：中文

中文关键词：压缩感知;稀疏信号;信道估计;导频优化;正交频分复用技术(OFDM)

外文关键词：compressive sensing;sparse signal;channel estimation;pilot pattern optimization;orthogonal frequency division multiplexing(OFDM)

摘要：针对OFDM系统信道的稀疏性,研究组稀疏信道估计方法;考虑信道的时间选择性和频率选择性,由信道系数的稀疏表示引入组稀疏概念,利用稀疏信号的非零分量趋向于成簇出现的组稀疏特性,提高重建质量.考虑到导频对信道估计性能的重要作用,采用分布估计算法(EDA)优化组稀疏信道估计中的导频放置模式.该方法具有较好的鲁棒性,不会陷入导频搜索的局部最小值,可以得到更小相关性的感知矩阵.理论分析和仿真结果均表明,该方案与传统估计方法相比,均方误差性能更加优异.仿真又采用了不同的重构方法和分组大小进行对比,均能证明该方法的适用性.
Channel estimation using group sparsity methods were studied for sparsity of OFDM system.These methods considered both the time-selective fading and frequency-selective fading of the channel.The concept of group sparsity was introduced by the sparse representation of the channel coefficients.The non-zero components of sparse signals tended to cluster in a region.This characteristic could be used to improve the quality of the reconstruction.At the same time,the pilot pattern played an important role in channel estimation.Estimation of distribution algorithm(EDA)was used to optimize pilot pattern in sparse channel estimation.The algorithm is more robust than other methods and unlikely to trap into local minima.Both theoretical analysis and simulation results show that the scheme is more effective than the traditional estimation method.The simulation results indicate the applicability of the scheme by using different reconstruction methods and group sizes.