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IIR Target Initiation and Tracking using the HPDAF with Feature Information  

Jung, Yun-Sik (Hanyang University)
Song, Taek-Lyul (Hanyang University)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.11, no.4, 2008 , pp. 124-132 More about this Journal
Abstract
In this paper, a dynamical filter called the Highest Probability Data Association Filter(HPDAF) improved by adding target feature information is proposed for robust target detection and tracking in clutter. IIR contains 2-dimensional kinematic coordinate, intensity, and feature information. In data association of the HPDAF for track initiation, feature information is utilized in addition to coordinate and intensity information. The performance of the proposed HPDA algorithm is tested and compared with the conventional HPDAF algorithm for track initiation by a series of Monte Carlo simulation runs for a 3-dimensional missile-target engagement. scenario.
Keywords
HPDA; Morphology; IIR; Dyanmic Filter; Feature Information;
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