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基于簇的块稀疏压缩感知的60GHz信道估计 被引量：6

60 GHz Channel Estimation Based on Cluster-classification and Block-sparse Compressed Sensing
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摘要 基于压缩感知设计适用于60 GHz毫米波通信系统的信道估计方案,深入研究了正交匹配追踪(OMP)算法和正则正交匹配追踪(Regularized OMP)算法的60 GHz信道估计性能;在此基础上,充分发掘60 GHz无线多径信道所呈现出的分簇特性,提出一种新颖的基于簇分级的稀疏压缩感知重构算法。新算法在有效减少重构迭代次数的前提下,亦能显著降低信道估计误差。综合对比分析了基于簇分块稀疏压缩感知重构算法和现有压缩感知算法在60 GHz信道估计应用中的重构性能,仿真结果表明,压缩感知算法可有效应用于60 GHz系统信道估计,而新设计的基于簇分级的稀疏压缩感知算法则在估计精度和实现复杂度方面具更优越性能。 The application of CS-OMP and CS-ROMP in channel estimation of 60 GHz millimeter-wave communication systems is investigated. Then the clustering characteristics of 60 GHz wireless multipath channel are fully exploited, based on which, a cluster- classification and block-sparse compressed sensing algorithm is proposed. The new algorithm significantly reduces the reconstruction error of channel estimation under the premise of less iteration times. Error ratios of CS-OMP, CS-ROMP and the proposed algorithm are compared through simulation. The results indicate that CS-OMP and CS-ROMP algorithm can be used in 60 GHz channel estimation effectively. However,the cluster-classification and block-sparse compressed sensing algorithm has a superior performance in channel estimation.
作者 侯猛 李斌 孙学斌 赵成林 周正
机构地区 北京邮电大学无线网络实验室
出处 《无线电通信技术》 2012年第6期32-34,41,共4页 Radio Communications Technology
关键词 60 GHZ 压缩感知 信道估计 CS—ROMP 分级 60 GHz compressed sensing channel estimation CS-ROMP cluster-classification
分类号 TN928 [电子电信—通信与信息系统]
  • 相关文献

参考文献7

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共引文献711

同被引文献32

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引证文献6

二级引证文献22

无线电通信技术
2012年 第6期

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