DocumentCode :
1671878
Title :
One-bit quantization for multi-sensor GLRT detection of unknown deterministic signals
Author :
Xiaoying Li ; Jun Fang ; Yumeng Liu ; Hongbin Li
Author_Institution :
Nat. Key Lab. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
Firstpage :
4251
Lastpage :
4255
Abstract :
In this paper, we consider a decentralized detection problem in which a number of sensor nodes collaborate to detect the presence of an unknown deterministic signal. Due to stringent power/bandwidth constraints, each sensor quantizes its local observation into one bit of information. The binary data are then sent to the fusion center (FC), where a generalized likelihood ratio test (GLRT) detector is employed to make a global decision. In this context, we study one-bit quantizer design and analyze the asymptotic performance of the one-bit GLRT detector for cases where the quantized data are sent to the FC via perfect or imperfect channels. Simulation results are carried out to corroborate our theoretical analysis and to illustrate the performance of the proposed scheme.
Keywords :
maximum likelihood estimation; quantisation (signal); sensor fusion; signal detection; asymptotic performance; binary data; decentralized detection problem; fusion center; generalized likelihood ratio test detector; imperfect channels; multisensor GLRT detection; one bit quantization; unknown deterministic signals; Bandwidth; Detectors; Maximum likelihood estimation; Probability density function; Quantization (signal); Simulation; Wireless sensor networks; Decentralized detection; one-bit quantization; wireless sensor networks (WSNs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638461
Filename :
6638461
Link To Document :
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