Music DOA estimation with compressive sensing and/or compressive arrays

This paper examines the pros and cons of compressed sensing in estimating the direction of arrival (DOA) of sparse signals impinging on an antenna array. The observed signal received by each antenna element may be compressed (temporally [2]) assuming that it is sparse (a valid assumption when dealin...

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Bibliographic Details
Main Author: Jouny, I.
Format: Conference Proceeding
Language:English
Subjects:
Antenna arrays
Array signal processing
Compressed sensing
compressive sampling
Direction of arrival estimation
DOA
Multiple signal classification
Radar antennas
Signal resolution
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Summary:This paper examines the pros and cons of compressed sensing in estimating the direction of arrival (DOA) of sparse signals impinging on an antenna array. The observed signal received by each antenna element may be compressed (temporally [2]) assuming that it is sparse (a valid assumption when dealing with real radar target signature), and the arrays receiving these signals may also be compressed (spatially) by compressing the array manifold from M antennas to Ms antennas according to some random sampling scheme [1,3]. The performance of both approaches is assessed via simulations involving real and synthetic radar scattering signatures obtained using stepped frequency radar. Of particular interest is the impact on array resolution and the ability of compressively sampled antenna array to resolve correlated arrivals.
ISSN:1522-3965
1947-1491
DOI:10.1109/APS.2011.5996902