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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Multi-View Radar Target Recognition Based on...

Multi-View Radar Target Recognition Based on Bayesian Compressive Sensing

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Abstract:

A novel Bayesian compressive sensing (BCS) based method for multi-view radar automatic target recognition (RATR) is presented. The overcomplete dictionary is constructed by all the training sets. The sparse representation coefficient solved via BCS is used as feature vector, and recognition is implemented according to minimum construction error criterion. Performance evaluation was carried out using simulated vehicle target dataset. The results show that the proposed method can obtain promising performance and is robust to the effect of noise.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3704-3708

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3704

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Online since:

November 2014

Authors:

Sheng Qi Liu*, Rong Hui Zhan, Qing Lin Zhai, Wei Wang, Jun Zhang

Keywords:

Bayesian Compressive Sensing, High Range Resolution Profile, Multiple Views, Radar Automatic Target Recognition

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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