Multiple Target Tracking With Out-of-Sequence GMTI/HRR Data

"MRLets Technologies, Inc. and Raytheon will jointly develop acomputation and memory efficient GMTI/HRR tracking system with a strong capability ofhandling out-of-sequence (OOS) data.Although the OOS phenomenon is common in multiplatform tracking and ID applications,a systematical and effective solution does not exist yet.This SBIRPhase II research aims at maturing the promising algorithms developed in Phase I and paving theway for a potential technology transition from the outcomes of this research to the current real-world products at Raytheon. This research is packed with many innovations and could totallychange the way that tracking and ID have been performed.Thekernel of this system is a Unified Feature-Aided Tracking and ID (UFAT-ID)framework which effectively exploits joint information in both target kinematic and ID spacesand provides a maximal flexibility for feature information to enter thedata association and ID processes. The framework is flexible enough to incorporate theexisting algorithms and powerful enough to develop new high performance algorithms.A joint multiple hypothesis tracking (MHT) and multiple hypothesis identification (MHI) algorithmwill be developed based on a multirate interacting multiple model (MRIMM) architecture which can efficientlyretrospect and update current tracks and IDs with OOS GMTI/HRR measurements.A thorough study on OOS timing issues will be conducted to provideunderstanding and gui