Target classification using Gaussian mixture model for ground surveillance Doppler radar

An automatic target recognition (ATR) algorithm, based on greedy learning of Gaussian mixture model (GMM) is developed in this work. The GMMs were obtained for a wide range of ground surveillance radar targets such as: walking person(s), tracked or wheeled vehicles, animals and clutter. Maximum-likelihood (ML) and "majority voting" decision schemes were applied to these models for target classification. The corresponding classifiers were trained and tested using distinct databases of target echoes, recorded by ground surveillance radar. ML and "majority voting" classifiers obtained classification rates of 88% and 96%, correspondingly. Both classifiers outperform trained human operators.

[1]  John H. L. Hansen,et al.  Discrete-Time Processing of Speech Signals , 1993 .

[2]  M. Jahangir,et al.  A robust Doppler classification technique based on hidden Markov models , 2002, RADAR 2002.

[3]  Robert Tibshirani,et al.  Classification by Pairwise Coupling , 1997, NIPS.

[4]  Il-Seok Oh,et al.  Binary classification trees for multi-class classification problems , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[5]  Nikos A. Vlassis,et al.  A Greedy EM Algorithm for Gaussian Mixture Learning , 2002, Neural Processing Letters.

[6]  K. M. Ponting,et al.  Robust Doppler classification technique based on hidden Markov models , 2003 .

[7]  Tomoyuki Hamamura,et al.  A multiclass classification method based on multiple pairwise classifiers , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[8]  Dan Roth,et al.  Constraint Classification for Multiclass Classification and Ranking , 2002, NIPS.

[9]  Ben J. A. Kröse,et al.  Efficient Greedy Learning of Gaussian Mixture Models , 2003, Neural Computation.

[10]  Andrew R. Barron,et al.  Mixture Density Estimation , 1999, NIPS.

[11]  A. G. Stove,et al.  A Doppler-based automatic target classifier for a battlefield surveillance radar , 2002, RADAR 2002.

[12]  Douglas A. Reynolds,et al.  A Gaussian mixture modeling approach to text-independent speaker identification , 1992 .

[13]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .