Simultaneous ground moving target tracking and identification using wavelets features from HRR data

Authors:
Lang Hong;Ningzhou Cui;Mark T. Pronobis;Stephen Scott
Affiliations:
Department of Electrical Engineering, Wright State University, Dayton, OH;Department of Electrical Engineering, Wright State University, Dayton, OH;Information Directorate, AFRL/IFEA, Air Force Research Laboratory, Rome, NY;Information Directorate, AFRL/IFEA, Air Force Research Laboratory, Rome, NY
Venue:
Information Sciences: an International Journal
Year:
2004

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Abstract

An algorithm for simultaneous ground moving target tracking and identification (ID) using both Ground Moving Target Indication (GMTI) radar reports and High Resolution Range (HRR) radar profiles is presented in this paper. The GMTI data provide target kinematics information and the HRR profiles deliver target ID information. Wavelet coefficients are first extracted from HRR profiles and then processed by a state-of-the-art wavelets-based statistical signal processing technique: wavelets domain hidden Markov trees (HMT). A probabilistic approach is adopted to effectively track and identify ground moving targets in confusing scenarios.