DocumentCode :
50928
Title :
Channel-Aware Decentralized Detection via Level-Triggered Sampling
Author :
Yilmaz, Yasin ; Moustakides, George V. ; Wang, Xiaodong
Author_Institution :
Electr. Eng. Dept., Columbia Univ., New York, NY, USA
Volume :
61
Issue :
2
fYear :
2013
fDate :
Jan.15, 2013
Firstpage :
300
Lastpage :
315
Abstract :
We consider decentralized detection through distributed sensors that perform level-triggered sampling and communicate with a fusion center (FC) via noisy channels. Each sensor computes its local log-likelihood ratio (LLR), samples it using the level-triggered sampling mechanism, and at each sampling instant transmits a single bit to the FC. Upon receiving a bit from a sensor, the FC updates the global LLR and performs a sequential probability ratio test (SPRT) step. We derive the fusion rules under various types of channels. We further provide an asymptotic analysis on the average decision delay for the proposed channel-aware scheme, and show that the asymptotic decision delay is characterized by a Kullback-Leibler information number. The delay analysis facilitates the choice of the appropriate signaling schemes under different channel types for sending the 1-bit information from the sensors to the FC.
Keywords :
delays; distributed sensors; probability; sampling methods; sensor fusion; Kullback-Leibler information number; asymptotic decision delay; channel-aware decentralized detection; distributed sensors; fusion center; level-triggered sampling; log-likelihood ratio; noisy channels; sequential probability ratio test; Delay; Educational institutions; Error probability; Noise measurement; Sensor fusion; Wireless sensor networks; Asymptotic analysis; KL information; SPRT; channel-aware fusion; decentralized detection; level-triggered sampling; sequential analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2012.2222401
Filename :
6320675
Link To Document :
بازگشت