Distributed Hypothesis Formation in Distributed Sensor Networks
Final rept. 15 Jul 1981-30 May 1983
ADVANCED INFORMATION AND DECISION SYSTEMS MOUNTAIN VIEW CA
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This report presents research results on distributed situation assessment in a distributed sensor network DSN. The area of multitarget tracking and classification has been chosen to investigate issues associated with distributed hypothesis formation and evaluation. A general theory for Bayesian multitarget tracking has been developed. This is used as the basis for specifying the processing architecture at each node in the DSN. Each node contains the Generalized TrackerClassifier for processing of local sensor data, an information fusion module to integrate processed information from various nodes, and an information distribution module. The problem of removing redundant information in a general distributed estimation system has also been investigated. Simulation results to study various issues associated with distributed situation assessment are presented.
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