王燕^1,2, 张立毅^1,3
AuthorsHTML:王燕^1,2, 张立毅^1,3
AuthorsListE:Wang Yan^1,2, Zhang Liyi^1,3
AuthorsHTMLE:Wang Yan^1,2, Zhang Liyi^1,3
Unit:1. 天津大学电气自动化与信息工程学院，天津 300072；2. 天津城建大学计算机与信息工程学院，天津 300384；3. 天津商业大学信息工程学院，天津 300134
Unit_EngLish:1．School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2．School of Computer and Information, Tianjin Chengjian University, Tianjin 300384, China
3．School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
Abstract_Chinese:针对稀疏信道在两个OFDM符号间变化缓慢的特性, 利用宽带稀疏信道分簇特性, 提出了一种修正分簇自适应正则匹配追踪(MOD-CRAMP)压缩感知信道估计算法．该算法在原有基于压缩感知稀疏信道估计算法的基础上, 加入信道的先验信息．同时, 利用前次估计的索引值作为当前估计的支撑, 并采用正则化的思想对候选支撑集进行2次筛选, 从而达到信道的精确重构．仿真结果表明, 该算法比传统的OMP算法、CRAMP算法及MOD-OMP算法均具有更好的估计性能．
Abstract_English:With regards to the fact that the sparse channel changes slowly between two OFDM symbols，the cluster characteristics for wideband sparse channel，the modified cluster regularized adaptive matching pursuit(MOD-CRAMP)compressed sensing channel estimation algorithm is proposed. Prior information of channel is added to the algorithm，based on the original sparse compressed sensing channel estimation algorithm. Moreover，it can accurately reconstruct the channel by using the index value of previous estimation as the support of current estimation，and using the regularized process，which supports secondary candidate screening. Simulation results show that the proposed algorithm has better estimation performance than the original algorithms such as OMP，CRAMP and MOD-OMP.
Keyword_Chinese:修正压缩感知; 簇稀疏性; 信道估计; 宽带通信; 信道
Keywords_English:MOD-compressed sensing; cluster sparsity; channel estimation; wideband communication; channel

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