Reliable tracking in a high clutter, dense target environment requires the utilization of a flexible tracking system capable of solving difficult track associations with minimized computational burden. To study this problem we have implemented, through simulation, a Joint Probabilistic Data Association Filter with an Electronically Scanned Array. This application is capable of handling large numbers of targets illuminated at arbitrarily spaced time intervals. We have developed efficient techniques for the implementation of the JPDAF algorithms, and have begun studying optimization techniques for data utilization and shared workload in order to realize the full potential of the ESAIJPDAF symbiosis. Since the actual JPDAF is not capable of track initiation, a separate adaptive, gated, line-fitting algorithm has been developed for this purpose.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.