Data Segmentation/Centroid Processing with Tracker Feedback for Tracking Closely Spaced Objects

"With wideband phased array radars, objects can be larger than the rangeresolution in which case multiple detections will occur across adjacent range cells. Forconditions with closely-spaced objects (CSOs), a key processing function is the segmentation ofdetections (called primitive measurements) and the subsequent centroid processing of primitivesinto object reports for use in data association and track filtering. It is the presence of CSOsand the use of wideband waveforms to resolve CSOs that make effective data segmentation/centroidprocessing a critical function within radar systems supporting BMD. To address the needs, wepropose to develop a new algorithm that includes merged monopulse measurement estimationprocedures, clustering methods with segmentation rules, and feedback from local or network-leveltrackers. Track feedback from multiple networked radars with different resolution volumes(i.e., diverse locations) should allow for improved tracking of splitting objects. Currently, data segmentation/centroid processing for tracking CSOs with widebandphased array radars is an unfunded research area that is critical to the success of future BMDsystems. Without effective data segmentation/centroid processing, the track performance forsplitting objects will be degraded and will significantly delay the engagement of ballisticmissiles. Several new radar systems are being developed to support the missile defense initi