Sequential hypothesis testing with off-line randomized sensor selection strategy

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 minimizin...

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Bibliographic Details
Published in2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 3269 - 3272
Main Authors Cheng-Zong Bai, Gupta, V., Yih-Fang Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Approximation methods
Equations
linear fractional programming
Random sequences
sensor selection
Sequential analysis
sequential probability ratio test
SPRT
Testing
Time measurement
Tin
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Summary: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.
ISBN:1467300454
9781467300452
ISSN:1520-6149
DOI:10.1109/ICASSP.2012.6288613