DocumentCode :
1806126
Title :
Detecting an abrupt change of finite duration
Author :
Guepie, B.K. ; Fillatre, Lionel ; Nikiforov, Igor
Author_Institution :
ICD, Univ. de Technol. de Troyes (UTT), Troyes, France
fYear :
2012
fDate :
4-7 Nov. 2012
Firstpage :
1930
Lastpage :
1934
Abstract :
This paper addresses the detection of a suddenly arriving signal of finite duration. In contrast to the traditional abrupt change detection framework where the post-change period is assumed to be infinitely long, the detection of a suddenly arriving short signal should be done before it disappears. Hence, the maximum delay for detection should be upper bounded and the traditional quickest change detection criterion is compromised. The new proposed optimality criterion promotes the maximization of the signal detection probability provided that the detection delay and the false alarm rate are upper bounded. A suboptimal detection algorithm based on a window limited cumulative sum test with a variable threshold is offered. The proposed method is analyzed theoretically and by simulation in case of Gaussian observations. A finite variable threshold is necessary to optimize the proposed algorithm which outperforms the conventional CUSUM test. It is shown that the resulting algorithm coincides with the finite moving average one.
Keywords :
Gaussian processes; probability; signal detection; Gaussian observations; abrupt change detection framework; detection delay; false alarm rate; finite duration; finite variable threshold; maximum delay; optimality criterion; post-change period; quickest change detection criterion; signal detection probability; suboptimal detection algorithm; window limited cumulative sum test;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-5050-1
Type :
conf
DOI :
10.1109/ACSSC.2012.6489375
Filename :
6489375
Link To Document :
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