signature=37277ff69e2b5b13311018e3985a7a8b,Signature-aided tracking using HRR profiles
【摘要】
This paper describes a methodology for using high-range-resolution ground-moving-target-indicator (HRRGMTI) profiles to aid the association process in an automated tracker. The tracker uses a Kalman filter to estimate the state of targets. These state estimates are used in addition to HRRGMTI measurements to perform data association. The HRRGMTI profiles used to develop and test the system are simulated using the MSTAR dataset of synthetic aperture radar (SAR) imagery. The performance of the system was estimated using a computer simulation that modeled the radars, ground vehicles, and creation of HRRGMTI profiles. Performance relative to a tracker that uses only kinematic information to perform data association is computed and presented.
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