Compressive Sensing Based Off-Grid DOA Estimation Using OMP Algorithm

In this paper we present a method of Direction of Arrival (DOA) estimation using a sparse array based on compressive sensing. The sources are assumed to be at off-grid location with respect to the receiver array. We show that the off-grid DOA of the sources can be estimated almost accurately by usin...

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Bibliographic Details
Published in2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) pp. 772 - 775
Main Authors Ganguly, Saurav, Ghosh, Ishita, Ranjan, Ratnesh, Ghosh, Jayanta, Kumar, Puli Kishore, Mukhopadhyay, Mainak
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2019
Subjects
Array signal processing
Compressed sensing
compressive sensing
Direction-of-arrival estimation
Estimation
Matching pursuit algorithms
Off-grid DOA estimation
OMP algorithm
Signal processing algorithms
Signal to noise ratio
sparse array
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Summary:In this paper we present a method of Direction of Arrival (DOA) estimation using a sparse array based on compressive sensing. The sources are assumed to be at off-grid location with respect to the receiver array. We show that the off-grid DOA of the sources can be estimated almost accurately by using the Orthogonal Matching Pursuit (OMP) algorithm for reconstruction from the sparse samples.
DOI:10.1109/SPIN.2019.8711677