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Target Classification and Pattern Recognition Using Micro-Doppler Radar Signatures

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4 Author(s)
Yinan Yang ; Dept. of Comput. & Inf. Sci., Towson Univ., MD ; Jiajin Lei ; Wenxue Zhang ; Chao Lu

Micro-motions, such as vibrations or rotations of an object or structures on the object, induce additional frequency modulations on returned radar signal, which generates sidebands about the object's Doppler frequency, called micro-Doppler by V.C. Chen et al. (2002). In this paper, we investigated statistical classification methods for target classification using their micro-Doppler signatures. At this stage only simulated data are studied, and two models are used to generate simulation data: point scatter model and RCS model. Both models are tested and compared for their performance on target classification

Published in:

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2006. SNPD 2006. Seventh ACIS International Conference on

Date of Conference:

19-20 June 2006