A new algorithm for 2-D DOA estimation
Signal Processing
Computationally Efficient Maximum Likelihood Approach to DOA Estimationof a Scattered Source
Wireless Personal Communications: An International Journal
Space-Time Processing for Wireless Communications
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Low-complexity estimation of 2D DOA for coherently distributed sources
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Distributed source modeling and direction-of-arrival estimationtechniques
IEEE Transactions on Signal Processing
Decoupled estimation of DOA and angular spread for a spatiallydistributed source
IEEE Transactions on Signal Processing
Bearing estimation for a distributed source: modeling, inherentaccuracy limitations and algorithms
IEEE Transactions on Signal Processing
Low-complexity estimators for distributed sources
IEEE Transactions on Signal Processing
Distributed source localization using ESPRIT algorithm
IEEE Transactions on Signal Processing
Parametric localization of distributed sources
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
Low-Complexity Estimation of the Nominal Azimuth and Elevation for Incoherently Distributed Sources
Wireless Personal Communications: An International Journal
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In mobile communications, local scattering in the vicinity of the mobile results in angular spreading as seen from a base station antenna array. In this paper, we consider the problem of estimating the two-dimensional (azimuth and elevation) direction-of-arrival (DOA) parameters of spatially distributed sources. Based on double parallel uniform linear arrays (ULAs), a simplified method without spectrum-peak searching is proposed for the 2D DOA estimation of multiple coherently distributed (CD) sources. The proposed method firstly obtains two approximate rotational invariance relations with respect to the nominal DOAs of CD sources by using one-order Taylor approximation to the generalized steering vectors (GSVs) of two pairs of shifted subarrays. And then a new ESPRIT-based method is utilized to estimate the nominal azimuth DOA and nominal elevation DOA. In addition, a simple parameter matching approach is also given. Compared with the conventional methods, our method has significantly reduced the computational cost and can sustain the estimation performance within a tolerable level. Moreover, our method is a blind estimator without any prior knowledge about angular distribution shape. Numerical examples illustrate the performance of the method.