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Sequential hypothesis testing with off-line randomized sensor selection strategy

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3 Author(s)
Cheng-Zong Bai ; Department of Electrical Engineering, University of Notre Dame, IN 46556, USA ; Vijay Gupta ; Yih-Fang Huang

We purpose and analyze an off-line randomized sensor selection strategy for sequential hypothesis testing problem constrained with sensor measurement costs. Within the framework of Wald's approximation, the sequential probability ratio test (SPRT) with sensor selection is designed for minimizing the expected total measurement cost subject to reliability and sensor usage constraints. In the case of symmetric hypotheses, we introduce a quantity, called efficiency, of a sensor and show that it is critical to the sensor selection in SPRT. Furthermore, an algorithm with linear time complexity is proposed to obtain the optimal sensor selection probabilities.

Published in:

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Date of Conference:

25-30 March 2012