TY - GEN
T1 - Multilevel quantizer design for decentralized detection in wireless sensor networks
AU - Gao, Fei
AU - Guo, Lili
AU - Li, Hongbin
AU - Liu, Jun
AU - Fang, Jun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/31
Y1 - 2015/8/31
N2 - We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in each sensor to quantize the original observation. The quantized data are transmitted through distortion channels to a fusion center where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We propose a quantizer design approach by maximizing the Fisher information with respect to the quantization thresholds. Numerical results demonstrate that with 2- or 3-bit quantization, the GLRT detector can provide detection performance very close to that of the unquantized GLRT detector which uses the original observations without quantization.
AB - We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in each sensor to quantize the original observation. The quantized data are transmitted through distortion channels to a fusion center where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We propose a quantizer design approach by maximizing the Fisher information with respect to the quantization thresholds. Numerical results demonstrate that with 2- or 3-bit quantization, the GLRT detector can provide detection performance very close to that of the unquantized GLRT detector which uses the original observations without quantization.
KW - Wireless sensor networks
KW - distributed detection
KW - multilevel quantization
UR - http://www.scopus.com/inward/record.url?scp=84957548838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84957548838&partnerID=8YFLogxK
U2 - 10.1109/ChinaSIP.2015.7230498
DO - 10.1109/ChinaSIP.2015.7230498
M3 - Conference contribution
AN - SCOPUS:84957548838
T3 - 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
SP - 716
EP - 720
BT - 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
T2 - IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
Y2 - 12 July 2015 through 15 July 2015
ER -