通信学报2017，Vol.38Issue(4)：120-128,9.DOI:10.11959/j.issn.1000-436x.2017074
基于双层压缩感知的有损无线链路稀疏信号传输
Sparse signal transmission under lossy wireless links based on double process of compressive sensing
摘要
Abstract
In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimizedby means of proposed method.关键词
有损无线链路/稀疏信号传输/压缩感知/信源编码Key words
lossy wireless links/sparse signal transmission/compressive sensing/source coding分类
信息技术与安全科学引用本文复制引用
孙鹏,李贵楠,吴连涛,王智..基于双层压缩感知的有损无线链路稀疏信号传输[J].通信学报,2017,38(4):120-128,9.基金项目
国家自然科学基金资助项目(No.61273079) （No.61273079）
国家自然科学重点基金资助项目(No.U1509215) （No.U1509215）
工业控制技术国家重点实验室开放课题基金资助项目(No.ICT170319,No.ICT170320,No.ICT170342)The National Natural Science Foundation of China (No.61273079),The National Natural Science Key Foundation of China (No.U1509215),The Open Project of State Key Laboratory of Industrial Control Technology (No.ICT170319,No.ICT170320,No.ICT170342) （No.ICT170319,No.ICT170320,No.ICT170342）
