Conference paper
Sparse DOA estimation with polynomial rooting
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Center for Energy Resources Engineering, Centers, Technical University of Denmark2
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Acoustic Technology, Department of Electrical Engineering, Technical University of Denmark4
University of California at San Diego5
Department of Electrical Engineering, Technical University of Denmark6
Direction-of-arrival (DOA) estimation involves the localization of a few sources from a limited number of observations on an array of sensors. Thus, DOA estimation can be formulated as a sparse signal reconstruction problem and solved efficiently with compressive sensing (CS) to achieve highresolution imaging.
Utilizing the dual optimal variables of the CS optimization problem, it is shown with Monte Carlo simulations that the DOAs are accurately reconstructed through polynomial rooting (Root-CS). Polynomial rooting is known to improve the resolution in several other DOA estimation methods. However, traditional methods involve the estimation of the cross-spectral matrix hence they require many snapshots and stationary incoherent sources and are suitable only for uniform linear arrays (ULA).
Root-CS does not have these limitations as demonstrated on experimental towed array data from ocean acoustic measurements.
Language: | English |
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Publisher: | IEEE |
Year: | 2015 |
Pages: | 104-108 |
Proceedings: | 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing |
ISBN: | 146737878X , 147997420X , 147997420x , 1479974218 , 9781467378789 , 9781479974207 and 9781479974214 |
Types: | Conference paper |
DOI: | 10.1109/CoSeRa.2015.7330273 |
ORCIDs: | Xenaki, Angeliki and Fernandez Grande, Efren |