Radar target recognition using structured sparse representation

Ismail Jouny

doi:10.1117/12.2550647

24 April 2020 Radar target recognition using structured sparse representation

Ismail Jouny

Proceedings Volume 11394, Automatic Target Recognition XXX; 113940G (2020) https://doi.org/10.1117/12.2550647
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Radar target recognition using structured sparse representation is the focus of this paper. Block-sparse representation and recovery is applied to the radar target recognition problem assuming a stepped-frequency radar is used. The backscatter of commercial aircraft models as recorded in a compact range is used to train and test a block-sparse based classifier. The motivation is to investigate scenarios where the target backscatter is corrupted by extraneous scatterers (similar to the disguise problem), and to investigate scenarios where scatterer occlusion takes place (similar to the face occlusion problem). Additional scenarios of whether the target azimuth position is completely or partially known are also examined.

Conference Presentation

Citation Download Citation

Ismail Jouny "Radar target recognition using structured sparse representation", Proc. SPIE 11394, Automatic Target Recognition XXX, 113940G (24 April 2020); https://doi.org/10.1117/12.2550647

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