Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array
The problem of azimuth and elevation directions of arrival (DOAs) estimation using a uniform rectangular array (URA) in single snapshot case is addressed in this paper. Using the principal singular vectors of the observed data matrix, an iterative procedure based on the linear prediction property,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/681251 |
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| Summary: | The problem of azimuth and elevation directions of arrival (DOAs) estimation
using a uniform rectangular array (URA) in single snapshot case is addressed in this paper.
Using the principal singular vectors of the observed data matrix, an iterative procedure
based on the linear prediction property, and weighted least squares is proposed for finding
the DOAs with lower computational complexity. Furthermore, the azimuth and elevation
parameters are automatically paired. Computer simulations are included to demonstrate
the effectiveness of the proposed algorithm. |
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| ISSN: | 1687-5869 1687-5877 |