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基于分布式压缩感知的改进SOMP信道估计算法 被引量:3
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作者 王宇 马秀荣 单云龙 《电讯技术》 北大核心 2023年第2期249-254,共6页
针对多径信道联合稀疏模型,基于分布式压缩感知理论提出了一种适用于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)通信系统的改进同时正交匹配追踪(Simultaneous Orthogonal Matching Pursuit,SOMP)信道估计算法。... 针对多径信道联合稀疏模型,基于分布式压缩感知理论提出了一种适用于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)通信系统的改进同时正交匹配追踪(Simultaneous Orthogonal Matching Pursuit,SOMP)信道估计算法。该算法首先联合多个符号利用比较残差和的方式,在每次迭代中估计各符号信道响应公共支撑集与相应元素直到公共支撑集估计结束,然后对各符号信道响应非公共支撑集单独进行估计,最终得到多个符号的信道响应估计值。仿真结果表明,改进的SOMP算法在JSM-2模型下性能与传统的SOMP算法相近,在JSM-1模型下性能优于传统的SOMP算法与OMP算法。 展开更多
关键词 OFDM通信系统 信道估计 同时正交匹配追踪(somp) 联合稀疏模型 分布式压缩感知
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A Novel Training Sequence Applied to DCS-Based Channel Estimation 被引量:2
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作者 Weizhang Xu Xinle Yu +2 位作者 Yanfei Li Lu Si Zhanxin Yang 《China Communications》 SCIE CSCD 2018年第11期70-78,共9页
Studies have indicated that the distributed compressed sensing based(DCSbased) channel estimation can decrease the length of the reference signals effectively. In block transmission, a unique word(UW) can be used as a... Studies have indicated that the distributed compressed sensing based(DCSbased) channel estimation can decrease the length of the reference signals effectively. In block transmission, a unique word(UW) can be used as a cyclic prefix and reference signal. However, the DCS-based channel estimation requires diversity sequences instead of UW. In this paper, we proposed a novel method that employs a training sequence(TS) whose duration time is slightly longer than the maximum delay spread time. Based on proposed TS, the DCS approach perform perfectly in multipath channel estimation. Meanwhile, a cyclic prefix construct could be formed, which reduces the complexity of the frequency domain equalization(FDE) directly. Simulation results demonstrate that, by using the method of simultaneous orthogonal matching pursuit(SOMP), the required channel overhead has been reduced thanks to the proposed TS. 展开更多
关键词 jointly sparse channel estimation distributed compressed sensing (DCS) simul-taneous orthogonal matching pursuit (somp) training sequence (TS) unique word (UW) frequency domain equalization (FDE)
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