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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Published in | 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) pp. 772 - 775 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2019
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Subjects | |
Online Access | Get full text |
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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. |
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DOI: | 10.1109/SPIN.2019.8711677 |