DMCA
A Generalized Sequential Sign Detector for Binary Hypothesis Testing (1998)
| Citations: | 5 - 4 self |
BibTeX
@MISC{Chandramouli98ageneralized,
author = {R. Chandramouli and N. Ranganathan},
title = {A Generalized Sequential Sign Detector for Binary Hypothesis Testing},
year = {1998}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
It is known that for fixed error probabilities sequential signal detection based on the sequential probability ratio test (SPRT) is optimum in terms of the average number of signal samples for detection. But, often sub-optimal detectors like the sequential sign detector are preferred over the optimal SPRT. When the additive noise statistic is independent and identically distributed (iid), the sign detector is preferred for its simplicity and nonparametric properties. However, in many practical applications such as the usage of high speed sampling devices the noise is correlated. In this paper, a generalized sequential sign detector for detecting binary signals in stationary, first order Markov dependent noise is studied. Under iid assumptions, this reduces to the usual sequential sign detector. The optimal decision thresholds and the average sample number for the test to terminate are derived. Numerical results are given to show that the proposed detector exploits the correlation in th...
Keyphrases
generalized sequential sign detector binary hypothesis testing binary signal nonparametric property average sample number numerical result sequential sign detector additive noise statistic optimal sprt usual sequential sign detector optimal decision threshold many practical application iid assumption sequential probability ratio test average number signal sample sign detector first order markov dependent noise sub-optimal detector high speed
