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A number of 2-D DOA estimation techniques based on L-shaped array have received much attention. In general, these methods require division of the L-shaped array into two independent uniform linear array (ULA) to obtain the azimuth and elevation angles independently, and then use additional pair matching technique to achieve 2-D DOA estimation. Therefore, these methods have some drawbacks such as 1)...
Inspired by the recent work of Tayem and Kwon, who developed a fast algorithm for estimating 2-D DOAs using the propagator method (PM) of the L-shape array (PMLA). Although PMLA is efficient, like all other PM based methods, its performance is slightly inferior to the subspace based methods in terms of estimation accuracy and the number of estimated sources. Moreover, the correlation information between...
In this paper, we present a novel scheme to improve the two-dimensional (2-D) direction-of-arrival (DOA) estimation performance for narrowband signals impinging on two orthogonal uniform linear arrays (ULAs). The proposed scheme exploits the cross-correlation submatrix information between subarray data to construct a stacking matrix and derive an expanded signal subspace representation through the...
Recently, Kikuchi et al. proposed a pair-matching method for two-dimensional (2-D) angle estimation using a cross-correlation matrix. Unlike some classical pair matching methods which require a complex process, Kikuchi's method utilizes the corresponding combinations of the elevation and azimuth angles emerging in the cross-correlation matrix of two uniform linear arrays (ULAs) to achieve automatic...
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