Title :
Spatial compressive sensing approach for field directionality estimation.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA
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;
Conference_Titel :
Radar Conference, 2009 IEEE
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4244-2870-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2009.4977023