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Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
For low-power wireless systems, transmission data volume is a key property, which influences the energy cost and time delay of transmission.
In this paper, we introduce compressive sensing to propose a compressed sampling and collaborative reconstruction framework, which enables real-time direction of arrival estimation for wireless sensor array network.
In sampling part, random compressed sampling and 1-bit sampling are utilized to reduce sample data volume while making little extra requirement for hardware.
In reconstruction part, collaborative reconstruction method is proposed by exploiting similar sparsity structure of acoustic signal from nodes in the same array.
Simulation results show that proposed framework can reach similar performances as conventional DoA methods while requiring less than 15% of transmission bandwidth.
Also the proposed framework is compared with some data compression algorithms.
While simulation results show framework’s superior performance, field experiment data from a prototype system is presented to validate the results.
American Psychological Association (APA)
Yin, Ming& Yu, Kai& Wang, Zhi. 2016. Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112906
Modern Language Association (MLA)
Yin, Ming…[et al.]. Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112906
American Medical Association (AMA)
Yin, Ming& Yu, Kai& Wang, Zhi. Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112906
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112906