Adaptive fusion by reinforcement learning for distributed detection systems

IEEE Transactions on Aerospace and Electronic Systems

Volumn 32, Issue 2, 1996, Pages 524-531

  Ansari, Nirwan ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SIMULATION; DECISION THEORY; DETECTORS; DISTRIBUTED COMPUTER SYSTEMS; ERROR ANALYSIS; ESTIMATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; SENSOR DATA FUSION;

ADAPTIVE FUSION MODEL; DISTRIBUTED DETECTION SYSTEMS; ESTIMATION ERRORS; FUSED DECISIONS; REINFORCEMENT LEARNING;

SIGNAL DETECTION;

EID: 0030128381     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/7.489497     Document Type: Article

References (7)

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2. Demirhas, K. (1988) Maximum a posteriori approach to object recognition with distributed sensors. IEEE Transactions on Aerospace and Electronic Systems, 24, 3 (May 1988), 309-313.
3. Reibman, A. R., and Nolte, L. W. (1987) Design and performance comparison of distributed detection networks. IEEE Transactions on Aerospace and Electronic Systems, AES-23, 6 (Nov. 1987), 789-797.
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6. Thomopoulos, S. C. A.. Viswanathan, R., and Bougooulias, D. C. (1987) Optimal decision fusion in multiple sensor systems. IEEE Transactions on Aerospace and Electronic Systems, AES-23, 5 (Sept. 1987), 644-653.
7. Minsky, M. L., and Paperk, S. A. (1988) Perccptron - Expanded Edition. Cambridge, MA: MIT Press, 1988.