An improved Orthogonal Matching Pursuit algorithm for signal reconstruction in wireless body sensor network

被引：0
作者：
Jiang, Rui [1 ]
Ding, Yongsheng [1 ,2 ]
Hao, Kuangrong [1 ,2 ]
Shu, Shiyu [1 ]
机构：
[1] College of Information Sciences and Technology, Ministry of Education Donghua University, Shanghai
[2] Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education Donghua University, Shanghai
来源：
Communications in Computer and Information Science | 2014年 / 461卷
基金：
中国国家自然科学基金;
关键词：
Compressed Sensing; Orthogonal Matching Pursuit algorithm; Signal Reconstruction; Wireless Body Sensor Network;
D O I：
10.1007/978-3-662-45283-7_11
中图分类号：
学科分类号：
摘要：
Energy efficiency is the primary challenge of wireless body sensor network (WBSN). Compressed sensing (CS) is a rapidly emerging signal processing technique that enables accurate capture and reconstruction of sparse signals from only a fraction of Nyquist Rate samples, significantly reducing the data-rate and system power consumption which solve the key issues in the WBSN. This paper proposes an improved CS-based Orthogonal Matching Pursuit (IOMP) algorithm in the WBAN. We evaluate the IOMP algorithm against the OMP algorithm from four aspects: compression ratio, percentage root-mean-square distortion, signal noise ratio and iterative times. Simulation results shows that, at the same compressed ratio, PRD SNR and iterative times of the proposed method are improved over those of the OMP algorithm. © Springer-Verlag Berlin Heidelberg 2014.
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收藏
页码：101 / 108
页数：7
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