One Shot Schemes for Decentralized Quickest Change Detection

被引:66
作者
Hadjiliadis, Olympia [1 ,2 ]
Zhang, Hongzhong
Poor, H. Vincent [3 ]
机构
[1] CUNY Brooklyn Coll, Dept Math, New York, NY 10016 USA
[2] CUNY, Grad Ctr, Dept Math, Dept Comp Sci, New York, NY 10016 USA
[3] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
Cumulative sum (CUSUM); one shot schemes; optimal sensor threshold selection; quickest detection; CUSUM;
D O I
10.1109/TIT.2009.2021311
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work considers the problem of quickest detection with N distributed sensors that receive sequential observations either in discrete or in continuous time from the environment. These sensors employ cumulative sum (CUSUM) strategies and communicate to a central fusion center by one shot schemes. One shot schemes are schemes in which the sensors communicate with the fusion center only once, via which they signal a detection. The communication is clearly asynchronous and the case is considered in which the fusion center employs a minimal strategy, which means that it declares an alarm when the first communication takes place. It is assumed that the observations received at the sensors are independent and that the time points at which the appearance of a signal can take place are different. Both the cases of the same and different signal distributions across sensors are considered. It is shown that there is no loss of performance of one shot schemes as compared to the centralized case in an extended Lorden min-max sense, since the minimum of N CUSUMs is asymptotically optimal as the mean time between false alarms increases without bound. In the case of different signal distributions the optimal threshold parameters are explicitly computed.
引用
收藏
页码:3346 / 3359
页数:14
相关论文
共 30 条
[1]  
Al-Ibrahim M. M., 1988, Proceedings of the 27th IEEE Conference on Decision and Control (IEEE Cat. No.88CH2531-2), P2479, DOI 10.1109/CDC.1988.194789
[2]  
ALIBRAHIM MM, 1989, AMER CONTR CONF CONF, P1321
[3]   Statistical model-based damage detection and localization: subspace-based residuals and damage-to-noise sensitivity ratios [J].
Basseville, M ;
Mevel, L ;
Goursat, M .
JOURNAL OF SOUND AND VIBRATION, 2004, 275 (3-5) :769-794
[4]   Subspace-based fault detection algorithms for vibration monitoring [J].
Basseville, M ;
Abdelghani, M ;
Benveniste, A .
AUTOMATICA, 2000, 36 (01) :101-109
[5]  
BASSEVILLE M, 2007, J APPL SIGNAL PROCES, P200
[6]  
Beibel M, 1996, ANN STAT, V24, P1804
[7]   Distributed detection with multiple sensors .2. Advanced topics [J].
Blum, RS ;
Kassam, SA ;
Poor, HV .
PROCEEDINGS OF THE IEEE, 1997, 85 (01) :64-79
[8]   Multihypothesis sequential probability ratio tests - Part I: Asymptotic optimality [J].
Dragalin, VP ;
Tartakovsky, AG ;
Veeravalli, VV .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1999, 45 (07) :2448-2461
[9]  
Ewins D. J., 1995, Modal Testing: Theory and Practice
[10]  
HADJILIADIS O., 2006, THEOR PROBAB APPL+, V50, P131