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Approaching Near Optimal Detection Performance via Stochastic Resonance

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4 Author(s)
Hao Chen ; Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY ; Varshney, P.K. ; Michels, J.H. ; Kay, S.

This paper considers the stochastic resonance (SR) effect in the two hypotheses signal detection problem. Performance of a SR enhanced detector is derived in terms of the probability of detection PD and the probability of false alarm PFA. Furthermore, the conditions required for potential performance improvement using SR are developed. Expression for the optimal stochastic resonance noise pdf which renders the maximum po without increasing PFA is derived. By further strengthening the conditions, this approach yields the constant false alarm rate (CFAR) receiver. Finally, detector performance comparisons are made between the optimal SR noise, Gaussian, uniform and optimal symmetric pdf noises

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:3 )

Date of Conference:

14-19 May 2006