Coscor framework for DoA estimation on wireless array sensor network

Compressive sensing (CS) is applied to enable real time direction of arrival (DoA) estimation in a wireless array sensor network by significantly reduce the amount of sensor data that needs to be transmitted over wireless channels. This is accomplished by (i) random sampling of data samples collecte...

Full description

Saved in:
Bibliographic Details
Published in2013 IEEE China Summit and International Conference on Signal and Information Processing pp. 215 - 219
Main Authors Kai Yu, Ming Yin, Yu-hen Hu, Zhi Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
Arrays
Collaboration
compressed sensing
Direction-of-arrival estimation
Estimation
sensor arrays
Signal to noise ratio
Wireless communication
Wireless sensor networks
Online AccessGet full text

Cover

More Information
Summary:Compressive sensing (CS) is applied to enable real time direction of arrival (DoA) estimation in a wireless array sensor network by significantly reduce the amount of sensor data that needs to be transmitted over wireless channels. This is accomplished by (i) random sampling of data samples collected at sensor arrays, and (ii) transmitting only the sign-bit of the data samples over wireless channels. It is shown that CS based DoA estimation is capable of delivering similar performance as conventional DoA methods while requiring less than 10% of wireless bandwidth to transmit data. This proposed scheme is validated using a prototype sensor array test bed. Preliminary experimental results clearly validate the superior performance of this proposed scheme.
DOI:10.1109/ChinaSIP.2013.6625331