A New Approach to Target Detection and Estimation in Clutter

We describe an approach for target detection/state estimation that views the problem as one of a finite state search. This approach allows for a natural way to associate measurements and also for dealing with data from heterogeneous sources. We describe our model and a scoring function based on the model. A search algorithm for target detection and target state estimation is presented, followed by an example.