Matrix analysis
3-D Unitary ESPRIT for Joint 2-D Angle and Carrier Estimation
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Unitary ESPRIT: how to obtain increased estimation accuracy with areduced computational burden
IEEE Transactions on Signal Processing
FSF MUSIC for Joint DOA and Frequency Estimation and Its Performance Analysis
IEEE Transactions on Signal Processing
TST-MUSIC for joint DOA-delay estimation
IEEE Transactions on Signal Processing
Total least squares phased averaging and 3-D ESPRIT for jointazimuth-elevation-carrier estimation
IEEE Transactions on Signal Processing
Analysis of joint angle-frequency estimation using ESPRIT
IEEE Transactions on Signal Processing
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In this paper, we present a fast algorithm for joint estimation of the two-dimensional (2-D) directions of arrival (DOAs) and frequencies of the incoming signals in wireless communications using a hierarchical space-time decomposition (HSTD) technique. Based on the HSTD, the proposed algorithm makes use of a sequence of one-dimensional (1-D) Unitary estimation of signal parameters via rotational invariance technique (ESPRIT) algorithms to estimate these parameters alternatively in a hierarchical tree structure. Also, in between every other 1-D Unitary ESPRIT algorithm, a temporal filtering process or a spatial beamforming process is invoked to partition the incoming signals into finer groups stage by stage to enhance the estimation accuracy as well as to alleviate the contaminated noise. Furthermore, with such a tree-structured estimation scheme, the pairing of these parameters is automatically determined without extra computational overhead. Simulation results show that the new algorithm provides satisfactory performance but with drastically reduced computations compared with previous works.