Picture of neon light reading 'Open'

Discover open research at Strathprints as part of International Open Access Week!

23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

Explore all Strathclyde Open Access research outputs...

Label consistent K-SVD for sparse micro-doppler classification

Coutts, Fraser K. and Gaglione, Domenico and Clemente, Carmine and Li, Gang and Proudler, Ian K. and Soraghan, John J. (2015) Label consistent K-SVD for sparse micro-doppler classification. In: 2015 IEEE International Conference on Digital Signal Processing (DSP). IEEE, pp. 90-94. ISBN 978-1-4799-8058-1

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

Secondary motions of targets observed by radar introduce non-stationary returns containing the so-called micro-Doppler information. This is characterizing information that can be exploited to enhance automatic target recognition systems. In this paper, the challenge of classifying the micro-Doppler return of helicopters is addressed. A robust dictionary learning algorithm, Label Consistent K-SVD (LC-KSVD), is applied to identify effectively and efficiently helicopters. The effectiveness of the proposed algorithm is demonstrated on both synthetic and real radar data.