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2-D Direction FindingWith Pair-Matching Operation for L-Shaped Nested Array
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DOI：10.1109/LCOMM.2020.3033152.png)
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Abstract
En 中文
In this letter, we devise a new approach for two-dimensional (2-D) direction finding using an L-shaped array structured by two nested arrays. By vectorizing the covariance matrices of the nested array outputs, the elevation and azimuth angles of the sources are firstly estimated separately. The pair-matching of the elevation and azimuth angle estimates is then achieved employing a permutation matrix which is obtained by solving an optimization problem with the array manifold matrices, cross-covariance matrix, and the source covariance matrix. Unlike the existing schemes, the proposed approach reconstructs the source covariance matrix in the coarray domain. Therefore, it can deal with more sources than the number of sensors in each nested array. Numerical results demonstrate the advantage of the proposed approach over the existing algorithms.
Keywords:
Covariance matrices
Azimuth
Signal to noise ratio
Manifolds
Sensor arrays
Array signal processing
Direction finding
nested array
L-shaped nested array
pair-matching
difference coarray
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