Basis pursuit over continuum applied to range-Doppler estimation problem

Sparse estimation and compressive sensing techniques have been recently considered for radar estimation problems. It is frequently observed that these methods are robust to model uncertainties and substantially improve performance in scenarios with a low signal-to-noise. However, since current spars...

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Bibliographic Details
Published in2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) pp. 381 - 384
Main Authors Panahi, Ashkan, Strom, Marie, Viberg, Mats
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Arrays
Conferences
Estimation
Optimization
Radar
Signal processing
Signal processing algorithms
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Summary:Sparse estimation and compressive sensing techniques have been recently considered for radar estimation problems. It is frequently observed that these methods are robust to model uncertainties and substantially improve performance in scenarios with a low signal-to-noise. However, since current sparsity-based techniques are computationally costly and require a suitable discretization (grid), which strongly restricts resolution, they practically receive less attention. In this work, we present an application of a new sparsity-based technique to the specific problem of range-Doppler estimation. The method, generalizing basis pursuit, is less computationally complex and its performance is independent of the grid selection. We demonstrate that the proposed technique can improve estimation performance in difficult cases, as compared to the SAGE technique.
ISBN:9781479914814
1479914819
ISSN:1551-2282
2151-870X
2151-870X
DOI:10.1109/SAM.2014.6882421