- Title
- Range-Doppler imaging via sparse representation
- Creator
- Hyder, Md Mashud; Mahata, Kaushik
- Relation
- 2011 IEEE Radar Conference (RADAR). Proceedings of the 2011 IEEE Radar Conference (RADAR) (Kansas City, MO 23-27 May, 2011) p. 486-491
- Publisher Link
- http://dx.doi.org/10.1109/RADAR.2011.5960585
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2011
- Description
- We pose the range-Doppler imaging problem as a two-dimensional sparse signal recovery problem with an over complete basis. The resulting optimization problem can be solved using both ℓ₀ and ℓ₁ norm minimization algorithms. Algorithm performance and estimation quality are illustrated using artificial data set, where targets are close to each other and target SNR is low. We show that accurate target location is achieved with high resolution. In particular, compared to other state-of-art algorithms, the proposed approach is shown to achieve more robustness in noisy environment with limited data.
- Subject
- compressive sampling; radar imaging; Range-Doppler imaging; sparse representation
- Identifier
- http://hdl.handle.net/1959.13/1344892
- Identifier
- uon:29521
- Identifier
- ISBN:9781424489015
- Identifier
- ISSN:1097-5659
- Rights
- © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
- Language
- eng
- Full Text
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