Estimation of nominal direction of arrival and angular spread using an array of sensors
Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
Low-complexity estimation of 2D DOA for coherently distributed sources
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Low complexity azimuth and elevation estimation for arbitrary array configurations
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Simulation of the beam response of distributed signals
IEEE Transactions on Signal Processing - Part II
Bearing estimation for a distributed source: modeling, inherentaccuracy limitations and algorithms
IEEE Transactions on Signal Processing
Distributed source localization using ESPRIT algorithm
IEEE Transactions on Signal Processing
Efficient Subspace-Based Estimator for Localization of Multiple Incoherently Distributed Sources
IEEE Transactions on Signal Processing
Parametric localization of distributed sources
IEEE Transactions on Signal Processing
Estimating 2-D DOA angles using nonlinear array configurations
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A generalized capon estimator for localization of multiple spread sources
IEEE Transactions on Signal Processing
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In this paper, we consider the problem of the nominal 2-D (azimuth and elevation) direction-of-arrival (DOA) estimation for coherently distributed source. This new approach is based on the rotation matrices of three parallel uniform linear arrays as deduced, which has decoupled the nominal 2-D DOA from those of angular spreads. The estimator makes use of the eigenvalue decomposition to beamspace data to estimate the nominal elevation DOA. And then using a new cross-correlation matrix, the nominal azimuth DOA estimates are decoupled from the elevation estimates and can be obtained with no searching. The proposed algorithm has lower computational complexity particularly when the radio of array size to the number of source is large, at the expense of negligible performance loss. Simulation results verify the effectiveness of the proposed method.