Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array

Joint Authors

So, H. C.
Wu, Yuntao
Pei, Xiaobing

Source

International Journal of Antennas and Propagation

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-05-17

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Electronic engineering

Abstract EN

The problem of azimuth and elevation directions of arrival (DOAs) estimationusing 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 procedurebased on the linear prediction property, and weighted least squares is proposed for findingthe DOAs with lower computational complexity.

Furthermore, the azimuth and elevationparameters are automatically paired.

Computer simulations are included to demonstratethe effectiveness of the proposed algorithm.

American Psychological Association (APA)

Wu, Yuntao& Pei, Xiaobing& So, H. C.. 2015. Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array. International Journal of Antennas and Propagation،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1065144

Modern Language Association (MLA)

Wu, Yuntao…[et al.]. Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array. International Journal of Antennas and Propagation No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1065144

American Medical Association (AMA)

Wu, Yuntao& Pei, Xiaobing& So, H. C.. Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array. International Journal of Antennas and Propagation. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1065144

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1065144