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Real-Valued Sparse Bayesian Learning for Off-Grid Direction-of-Arrival (DOA) Estimation in Ocean Acoustics

IEEE Journal of Oceanic Engineering, 2020
Real-valued sparse representation methods have recently become popular for directions of arrival (DOAs) of unknown and possibly correlated signals using an array of sensors.
Anup Das
semanticscholar   +1 more source

Direction of Arrival (DOA) Estimation Using Electrically Small Tuned Dipole Antennas

IEEE Transactions on Antennas and Propagation, 2006
Tapan Sarkar   +2 more
exaly   +2 more sources

Direction of arrival (DOA) parameter estimation with the SAGE algorithm

Signal Processing, 2004
In this study, we investigate the estimation of the relative delay, the azimuth and elevation angle and the complex amplitude of a known received signal with the space alternating generalised expectation (SAGE) maximisation algorithm. This optimisation algorithm is used to replace the high-dimensional optimisation procedure, necessary to compute the ...
Jo Verhaevert   +2 more
openaire   +1 more source

Improved maximum likelihood spectrum for direction of arrival (DOA) estimation

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A variation of J. Capon's (1969) maximum-likelihood (ML) spectral estimation algorithm is described for calculating direction of arrival using a short linear array. The proposed modification involves altering the computed covariance spectral matrix by setting its lowest eigen value to a small, positive constant lambda '(min).
P. S. Naidu, V. V. Krishna
openaire   +1 more source

A SYSTOLIC ARCHITECTURE FOR CAPON'S DIRECTIONS-OF-ARRIVAL (DOA) ESTIMATION METHOD

Parallel Algorithms and Applications, 1993
In this paper, a systolic array architecture is designed for the parallel implementation of Capon's direction-of-arrival estimation method in array signal processing. The architecture uses the QR decomposition on the data matrix to compute Capon's angular spectrum. The systolic array employs N(N + l)/2 + N processing elements (PEs).
C. R. Wan, David J. Evans 0001
openaire   +1 more source

Direction of Arrival (DOA) Estimation for Radars in Near-Field Regions

2024 IEEE International Conference on Microwaves, Communications, Antennas, Biomedical Engineering and Electronic Systems (COMCAS)
Mustafa Mahamed   +2 more
exaly   +2 more sources

DOA(Direction of Arrival) with array antennas based on MOM

2010 IEEE Antennas and Propagation Society International Symposium, 2010
It's an important issue that estimation of signal direction for radar or communication system. And it was researched for military and commercial. Generally, it's a method that estimate to direction of signal by use each signal of array sensors. It called to DOA(Direction Of Arrival). For basically, there are Beamforming, Capon, Linear-prediction method.
null Sang-kon Mun   +4 more
openaire   +1 more source

Coarray Tensor Direction-of-Arrival Estimation

IEEE Transactions on Signal Processing, 2023
Augmented coarrays can be derived from spatially undersampled signals of sparse arrays for underdetermined direction-of-arrival (DOA) estimation. With the extended dimension of sparse arrays, the sampled signals can be modeled as sub-Nyquist tensors ...
Hang Zheng   +4 more
semanticscholar   +1 more source

On direction-of-arrival (DoA) feedback and precoding for D2D assisted massive MIMO

2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018
Effective channel state information (CSI) feedback design is difficult for massive multiple-input multiple-output (MIMO) downlink transmissions in 5G frequency division duplexing (FDD) bands, where partial CSI could be directly exchanged between users through device-to-device (D2D) communications.
Hong-Yunn Chen   +2 more
openaire   +1 more source

Direction-of-Arrival Estimation for Coherent Signals Exploiting Moving Coprime Array

IEEE Signal Processing Letters, 2023
In this letter, we propose a novel algorithm to estimate the direction-of-arrival (DOA) for coherent signals exploiting the moving coprime array (MCA).
Wang Li, Xu Xu, Xinyue Huang, Yue Yang
semanticscholar   +1 more source

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