MEASUREMENT RECONSTRUCTION APPROACH FOR DISTRIBUTED MULTISENSOR FUSION

There have been several algorithms proposed for multisensor tracking o f multiple objects using a centralized processing architecture, but be cause of considerations such as reliability, survivability, and commun ication bandwidth, distributed processing architectures are often the only alternative. The distributed fusion problem is more complex than the centralized fusion problem because of correlation across track est imates for the same object. We propose an approach for distributed sen sor fusion that bypasses this correlation problem and allows previousl y developed centralized fusion methods to be employed after a measurem ent reconstruction procedure. Limitations and assumptions are discusse d, and simulation results are presented to demonstrate the performance s obtained with this approach.