An Improved 2-D DOA Estimation with L-shaped Arrays Based on PM

In this article, an improved two-dimensional (2-D) direction of arrival (DOA) estimation method is proposed for narrow signals impinging on an L-shaped arrays. Based on the propagator method (PM), the computational loads of the proposed method can be significantly smaller since the PM does not requi...

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Bibliographic Details
Published in:Sensors & transducers 2014-09, Vol.179 (9), p.207-207
Main Authors: Yu, Chunhua, Zhang, Xinggan, Qiu, Xiaojun, Bai, Yechao
Format: Article
Language:English
Subjects:
Arrays
Computer simulation
Covariance matrix
Decomposition
Eigenvalues
Failure
Noise levels
Searching
Sensors
Transducers
Online Access:Get full text
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Summary:In this article, an improved two-dimensional (2-D) direction of arrival (DOA) estimation method is proposed for narrow signals impinging on an L-shaped arrays. Based on the propagator method (PM), the computational loads of the proposed method can be significantly smaller since the PM does not require any eigenvalue decomposition of the received data. With a propagator matrix, the proposed method constructs a new extended matrix to estimate the elevation angle, which improves the DOA estimation performance in low SNR. By exploiting the covariance matrix of the received data, another propagator matrix is achieved, then pair matching and peak searching are used, to achieve the corresponding 2-D azimuth angles, which reduces the occurrence of estimation failure and errors. In the case of DOA estimation for two signals, at RMSE = 0.2, the proposed method results in a gain improvement of about 5dB over the joint singular value decomposition method and 9.5 dB over the PM method.
ISSN:2306-8515
1726-5479