Approaching near optimal detection performance via stochastic resonance

Authors

Hao Chen, Syracuse University
Pramod K. Varshney, Syracuse University
James H. Michels, JHM Technologies
Steven Kay, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

12-1-2006

Abstract

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 PD 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. © 2006 IEEE.

Publication Title, e.g., Journal

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volume

3

Citation/Publisher Attribution

Chen, Hao, Pramod K. Varshney, James H. Michels, and Steven Kay. "Approaching near optimal detection performance via stochastic resonance." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 3, (2006). doi: 10.1109/ICASSP.2006.1660645.