26 May 1995 Track maintenance for maneuvering targets in cluttered environments using the IMM-IPDAF
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Abstract
Track maintenance refers to the process of fusing sensor contacts to existing tracks in order to estimate the target state. Target tracking in cluttered environments is difficult because there can be several contact-to-track associations for a given track. The Nearest Neighbor (NN) approach, which uses the contact nearest the predicted measurement, is an early maintenance algorithm for clutter but its performance greatly suffers because alternative hypotheses are not considered. Probabilistic methods, such as the Probabilistic Data Association (PDA) and Integrated PDA (IPDA), are superior because all hypotheses are considered. The PDA inherently assumes that the track exists where as the IPDA does not. A single PDA or IPDA filter has difficulty with maneuvering targets and will therefore be incorporated into the Interacting Multiple Model (IMM) algorithm. For illustrative purposes, simulation studies will be used to compare the performance of the algorithms.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory A. Watson, Gregory A. Watson, Ronald E. Helmick, Ronald E. Helmick, } "Track maintenance for maneuvering targets in cluttered environments using the IMM-IPDAF", Proc. SPIE 2468, Acquisition, Tracking, and Pointing IX, (26 May 1995); doi: 10.1117/12.210441; https://doi.org/10.1117/12.210441
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