Low complexity 2D-DOA estimation algorithm for non-uniform L-shaped array
Dong‐Lin Yang, Qianlin Cheng, Weihua Lv, Zheng Wang, Xiaofei Zhang
Abstract
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Dong‐Lin Yang, Qianlin Cheng, Weihua Lv, Zheng Wang, Xiaofei Zhang
Abstract
Open-access reader
In this paper, we discussed the problem of two-dimensional (2D) direction of arrival (DOA) estimation for non-uniform L-shaped array, and for this, a low complexity multiple signal classification (MUSIC) algorithm is proposed.The proposed algorithm uses two one-dimensional searches to achieve the joint estimation of 2-dimensional DOA so as to avoid the high computational cost within 2D-MUSIC algorithm.And the angle estimation performance is very close to the 2D-MUSIC algorithm.The proposed algorithm achieves a good balance between the estimation accuracy and complexity.
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In this paper, we discussed the problem of two-dimensional (2D) direction of arrival (DOA) estimation for non-uniform L-shaped array, and for this, a low complexity multiple signal classification (MUSIC) algorithm is proposed.The proposed algorithm uses two one-dimensional searches to achieve the joint estimation of 2-dimensional DOA so as to avoid the high computational cost within 2D-MUSIC algorithm.And the angle estimation performance is very close to the 2D-MUSIC algorithm.The proposed algorithm achieves a good balance between the estimation accuracy and complexity.
Key concepts: Multiple signal classification, Computational complexity theory, Algorithm, Direction of arrival, Computer science, Estimation, SIGNAL (programming language), Joint (building)