Results 131 to 140 of about 2,589 (174)
Some of the next articles are maybe not open access.
Direction-of-Arrival (DOA) Estimation based on Spacetime-Modulated Metasurface
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2019We introduce the concept of DOA estimation based on spacetime-modulated 2D-patch-array metasurface. Such a system, compared to conventional DOA estimators, offers the key advantage of requiring only one receiving antenna, with the metasurface placed in front of it.
Xiaoyi Wang, Christophe Caloz
exaly +2 more sources
IEEE Communications Letters, 2010
This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one-dimension search, can avoid the high computational cost within ...
Lingyun Xu, Dazhuan Xu
exaly +2 more sources
This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one-dimension search, can avoid the high computational cost within ...
Lingyun Xu, Dazhuan Xu
exaly +2 more sources
Adaptive filtering algorithm for direction-of-arrival (DOA) estimation with small snapshots
Digital Signal Processing, 2019Abstract The direction-of-arrival (DOA) estimation problem with a few noisy snapshots can be formulated as a problem of finding a joint sparse representation of multiple measurement vectors (MMV), and some algorithms based on compressive sensing (CS), such as the joint l 0 approximation DOA (JLZA-DOA) and Multiple Snapshot Matching ...
Beiyi Liu, Li Xu, Guan Gui
exaly +2 more sources
Virtural receiving array (VRA) method for direction of arrival (DOA) estimation
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 2012Using the data from a signal-element receiver on a moving Unmanned Arial Vehicle (UAV), this paper introduces a VRA method to obtain the data that can be used in the Direct Data Domain (D3) method for the signal DOA estimation.
Chen Wu, Yahia Antar
exaly +2 more sources
Estimation of Direction of Arrival(DOA) Based on the Spatial Kurtosis Spectrum
2021 International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2021Jinde Huang, Hong Li
exaly +2 more sources
Direction of arrival (DOA) parameter estimation with the SAGE algorithm
Signal Processing, 2004In 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, 2003A 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, 1993In 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

