TY - GEN
T1 - Sign-assisted precoding for joint decentralized detection and estimation in WSNs
AU - Fang, Jun
AU - Li, Xiaoying
AU - Li, Hongbin
PY - 2013
Y1 - 2013
N2 - We consider a joint decentralized detection and estimation problem in which a number of sensor nodes collaborate to detect and estimate an unknown deterministic vector signal. To cope with the power/bandwidth constraints inherent in wireless sensor networks (WSNs), each sensor compresses its observations using a linear precoder. The compressed messages are transmitted to the fusion center (FC), where a global decision is made by resorting to a generalized likelihood ratio test (GLRT), and a maximum likelihood (ML) estimate of the signal is formed if the signal is detected. We propose a sign-assisted random precoding scheme which utilizes the knowledge of the plus/minus signs of the signal components. Performance analysis shows that the signassisted scheme is more effective than the energy detector in detecting weak signals that are buried in noise. Specifically, it outperforms the energy detector when the observation signal-to-noise ratio (SNR) is less than 1/(π-2).
AB - We consider a joint decentralized detection and estimation problem in which a number of sensor nodes collaborate to detect and estimate an unknown deterministic vector signal. To cope with the power/bandwidth constraints inherent in wireless sensor networks (WSNs), each sensor compresses its observations using a linear precoder. The compressed messages are transmitted to the fusion center (FC), where a global decision is made by resorting to a generalized likelihood ratio test (GLRT), and a maximum likelihood (ML) estimate of the signal is formed if the signal is detected. We propose a sign-assisted random precoding scheme which utilizes the knowledge of the plus/minus signs of the signal components. Performance analysis shows that the signassisted scheme is more effective than the energy detector in detecting weak signals that are buried in noise. Specifically, it outperforms the energy detector when the observation signal-to-noise ratio (SNR) is less than 1/(π-2).
KW - Decentralized detection
KW - error exponent
KW - precoding design
KW - wireless sensor networks (WSNs)
UR - http://www.scopus.com/inward/record.url?scp=84889576317&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889576317&partnerID=8YFLogxK
U2 - 10.1109/ChinaSIP.2013.6625366
DO - 10.1109/ChinaSIP.2013.6625366
M3 - Conference contribution
AN - SCOPUS:84889576317
SN - 9781479910434
T3 - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
SP - 384
EP - 388
BT - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
T2 - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
Y2 - 6 July 2013 through 10 July 2013
ER -