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Semi-Tensor CS for Distributed Channel Estimation in WSNs

DonghaiBao 添加于 2018/4/6 13:47:13  236次阅读 | 0次推荐 | 0个评论

Abstract: Distributed channel estimation (DCE) is one of the core research topics in wireless sensor networks (WSNs). Under the hypothesis that channel parameters can be modeled as a sparse system, DCE based on compressed sensing (CS) is an effective approach to channel estimation. Among all the existing CS-DCE schemes, every node must store a sensing matrix whose size will increase with the number of channel parameters. Hence the workload of each node increases. To overcome this problem, in this paper, the CS-DCE scheme is developed with Semi-tensor product (STP) to relieve every sensor's storage space and reduce its computation complexity. Simulation results show the proposed framework releases the sensor's workload and ensures the reconstruction accuracy.

作 者: Donghai Bao,Fang Yang,Yinping Wang,Qianru Jiang,Huang Bai,Sheng Li
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学科领域:信息科学 » 电子学与信息系统 » 信号理论与信号处理
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原文链接:http://ieeexplore.ieee.org/document/8227672/
DOI: 10.1109/SPAWC.2017.8227672
ISBN: 1948-3252
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