DocumentCode
1608160
Title
Spatial compressive sensing approach for field directionality estimation.
Author
Bilik, I.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA
fYear
2009
Firstpage
1
Lastpage
5
Abstract
This work addresses the problem of field directionality estimation using uniform linear array. Recent advances from the compressive sensing theory were invoked for this application. Motivated by a sparse representation of the field directionality in frequency-wavenumber domain, a spatial compressive sensing-based method for the field directionality estimation is proposed in this work. This method is conceptually different from other classical algorithms, achieving a high azimuth resolution using relatively short array. This work provides an alternative, spatial interpretation for the compressive sensing theory in application to array signal processing. Major advantages of the proposed approach are simplicity of an implementation and a high angular resolution achievable by short arrays.
Keywords
array signal processing; covariance matrices; sensor arrays; signal resolution; array signal processing; azimuth resolution; covariance matrix; field directionality estimation; frequency-wavenumber domain; sensor array; spatial compressive sensing approach; uniform linear array; Application software; Array signal processing; Azimuth; Frequency estimation; Narrowband; Sampling methods; Sensor arrays; Signal processing algorithms; Signal resolution; Spatial resolution; Array signal processing; Compressive sensing; Field directionality estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2009 IEEE
Conference_Location
Pasadena, CA
ISSN
1097-5659
Print_ISBN
978-1-4244-2870-0
Electronic_ISBN
1097-5659
Type
conf
DOI
10.1109/RADAR.2009.4977023
Filename
4977023
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