Multiple-Hypothesis IMM (MH-IMM) Filter for Moving and Stationary Targets
نویسندگان
چکیده
Abstract This paper builds on the filtering work presented in [1]. Our hybrid-state extended Kalman filter [1] is suitable for track-level processing [2] to maintain track through move-stop-move motion patterns, but is inadequate for processing report-level data. Similarly, a direct IMM approach to move-stopmove filtering appears inadequate, since it may lead to excessive track breaks and to overshooting the stop location of targets. A recent effort to address the movestop-move problem [3] also appears limited, as it relies on slow target decelerations relative to sensor revisit rates.
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