Robust and locally-optimum decentralized detection with censoring sensors

Proceedings of the 5th International Conference on Information Fusion, FUSION 2002

Volumn 1, Issue , 2002, Pages 56-63

  Appadwedula, Swaroop ^a   Veeravalli, Venugopal V ^a   Jones, Douglas L ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Distributed detection; least favorable distribution; locally optimum testing; Neyman Pearson testing; robust hypothesis testing

Indexed keywords

COMMUNICATION; ENERGY UTILIZATION; INFORMATION FUSION;

COMMUNICATION CONSTRAINTS; DECENTRALIZED DETECTION; DISTRIBUTED DETECTION; LEAST-FAVORABLE DISTRIBUTION; NEYMAN-PEARSON; NEYMAN-PEARSON TEST; ROBUST FORMULATIONS; ROBUST HYPOTHESIS TESTING;

SENSORS;

EID: 84901406535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2002.1021131     Document Type: Conference Paper

References (8)

1. R. R. Tenney and N. R. Sandell, Jr., "Detection with distributed sensors," IEEE Transactions on Aerospace and Electronic Systems, vol. 17, pp. 501-510, July 1981.
2. C. Rago, P. Willett, and Y. Bar-Shalom, "Censoring sensors: A low-communication-rate scheme for distributed detection," IEEE Transactions on Aerospace and Electronic Systems, vol. 32, pp. 554-568, April 1996.
3. P. J. Huber, "A robust version of the probability ratio test," Annals of Mathematical Statistics, vol. 36, pp. 1753-1758, December 1965.
4. P. J. Huber, Robust Statistics. New York: John Wiley and Sons, 1981.
5. V. Veeravalli, T. Basar, and H. V. Poor, "Mini-max robust decentralized detection," IEEE Transactions on Information Theory, vol. 40, pp. 35-40, January 1994.
6. E. L. Lehmann, Testing Statistical Hypotheses. New York: John Wiley and Sons, 1986.
7. H. V. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1994.
8. J. N. Tsitsiklis, "Decentralized detection by a large number of sensors," Mathematics of Control, Signals, and Systems, vol. I, pp. 167-182, 1988.