An Effective Algorithm for Tracking Multiple Maneuvering Targets

Multiple maneuvering target tracking in a dense clutter environment is investigated. An effective parallel processing algorithm based on state fusion and fast joint probabilistic data association (FJPDA) is proposed. State fusion and feedback of all state information are used to fit different movements of targets. The FJPDA combining cluster matrix decomposition with fast data association algorithm is built for tracking multiple targets. Two examples are simulated to prove the validity and reliability of the proposed new algorithm.Copyright © 2002 by ASME