Unified fusion rules for multisensor multihypothesis network decision systems

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

Volumn 33, Issue 4, 2003, Pages 502-513

  Zhu, Yunmin ^a   Li, X Rong ^b  

^a SICHUAN UNIVERSITY   (China)

^b UNO College of Engineering   (United States)

Author keywords

Distributed decision; Global optimization; Optimum sensor rule; Unified fusion rule

Indexed keywords

ALGORITHMS; DECISION THEORY; GLOBAL OPTIMIZATION; NEURAL NETWORKS; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; TELECOMMUNICATION NETWORKS;

DISTRIBUTED DECISION; MULTISENSOR MULTIHYPOTHESIS NETWORK DECISION SYSTEMS; UNIFIED FUSION RULE;

SENSOR DATA FUSION;

EID: 0242323752     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2003.809211     Document Type: Article

References (21)

1. Y.M. Zhu, R.S. Blum, Z.Q. Luo, and K.M. Wong, "Unexpected properties and optimum distributed sensor detectors for dependent observation cases," IEEE Trans. Automat. Contr., vol. 45, pp. 62-72, Jan. 2000.
2. Y. M. Zhu, Multisensor Decision and Estimation Fusion. Norwell, MA: Kluwer, 2003.
3. R. R. Tenney and N. R. Sandell Jr., "Detection with distributed sensors," IEEE Trans. Aerosp. Electron. Syst., vol. AES-17, pp. 501-510, 1981.
4. B. V. Dasarathy, Decision Fusion. Los Alamitos, CA: IEEE Comput. Soc. Press, 1994.
5. L. A. Klein, Sensor and Data Fusion Concepts and Applications. Bellingham, WA: SPIE Press, 1993.
6. S. Chaudhuri, A. Crandall, and D. Reidy, "Multisensor data fusion for mine detection," in Proc. SPIE-Sensor Fusion III: 3-D Perception and Recognition, vol. 1306. Bellingham, WA, 1990, pp. 187-204.
7. J. Han, P. K. Varshney, and V. C. Vannicola, "Distributed detection of moving optical objects," in Proc. SPIE-Sensor Fusion III: 3-D Perception and Recognition, vol. 1306. Bellingham, WA, 1990, pp. 115-124.
8. R. C. Luo and M. G. Kay, "Multisensor integration and fusion in intelligent systems," IEEE Trans. Syst., Man, Cybern., vol. 19, pp. 901-931, Sept./Oct. 1989.
9. D. D. Freedman and P. A. Smyton, "Overview of data fusion activities," in Proc. Amer.Control Conf., San Francisco, CA, June 1993.
10. H. Delic, H. Papantoni-Kazakos, and D. Kazakos, "Fundamental structures and asymptotic performance criteria in decentralized binary hypothesis testing," IEEE Trans. Commun., vol. 43, pp. 32-43, Jan, 1995.
11. Z. B. Tang, K. R. Pattipati, and D. K. Kleinman, "An algorithm for determining the decision threshold in a distributed detection problem," IEEE Trans. Syst., Man, Cybern., vol. 21, pp. 231-237, Jan./Feb. 1991.
12. J. N. Tsitsiklis and M. Athans, "On the complexity of decentralized decision making and detection problems," IEEE Trans. Automat. Contr., vol. AC-30, pp. 440-446, Apr. 1985.
13. V. Venugopal, V. Veeravalli, T. Basar, and H. V. Poor, "Decentralized sequential detection with a fusion center performing the sequential test," IEEE Trans. Inform. Theory, vol. 37, pp. 433-442, Mar. 1993.
14. V. Veeravalli, T. Basar, and H. V. Poor, "Minimax Robust decentralized detection," IEEE Trans. Inform. Theory, vol. 38, pp. 35-40, Jan. 1994.
15. J. D. Papastavrou and M. Athans, "Distributed detection by a large team of sensors in tandem," IEEE Trans. Aerosp. Electron. Syst., vol. 28, pp. 639-652, July 1992.
16. J. N. Tsitsiklis, "Decentralized detection," in Advances in Statistical Signal Processing, H. V. Poor and J. B. Thomas, Eds. Greenwich, CT: JAI, 1993, 2.
17. R. Vismanathan and P. K. Varshney, "Distributed detection with multiple sensors: Part I-Fundamentals," Proc. IEEE, vol. 85, pp. 54-63, Jan. 1997.
18. P. K. Varshney, Distributed Detection and Data Fusion. New York: Springer-Verlag, 1997.
19. R. S. Blum, S. A. Kassam, and H. V. Poor, "Distributed detection with multiple sensors: Part II-Advanced topics," Proc. IEEE, vol. 85, pp. 64-79, Jan. 1997.
20. Y. M. Zhu, C. Y. Liu, and Y. Gan, "Multisensor distributed Neyman-Pearson decision with correlated sensor observations," in Proc. Int. Conf. Multisource-Multisensor Information Fusion, vol. 1, 1998, pp. 35-39.
21. Y. M. Zhu, Y. Gan, K. S. Zhang, and C. Y. Liu, "Multisensor Neyman-Pearson type sequential decision with correlated sensor observations," in Proc. Int. Conf. Multisource-Multisensor Information Fusion, vol. 2, 1998, pp. 787-793.