Results 11 to 20 of about 5,419,576 (229)

Performance Analysis of the Decentralized Eigendecomposition and ESPRIT Algorithm [PDF]

open access: yesIEEE Transactions on Signal Processing, 2015
In this paper, we consider performance analysis of the decentralized power method for the eigendecomposition of the sample covariance matrix based on the averaging consensus protocol.
Pesavento, M.   +2 more
core   +2 more sources

Beamspace ESPRIT algorithm for bistatic MIMO radar

open access: yesElectronics Letters, 2011
A novel beamspace ESPRIT (B-ESPRIT) algorithm is proposed to estimate the direction of departures (DODs) and direction of arrivals (DOAs) for bistatic MIMO radar. It restores the rotational invariance structure lost in the beamspace transformation for both the transmit array and the receive array, and then the DODs and DOAs can be estimated through ...
Y.D. Guo, Y.S. Zhang, N.N. Tong
openaire   +3 more sources

Unitary ESPRIT algorithm for bistatic MIMO radar

open access: yesElectronics Letters, 2012
A new Unitary ESPRIT algorithm for joint direction of departure (DOD) and direction of arrival (DOA) estimation in bistatic MIMO radar is proposed. The properties of centro-Hermitian matrices are utilised to transform the complex-valued data matrix into a real-valued data matrix.
Guimei Zheng, Baixiao Chen, Minglei Yang
openaire   +3 more sources

2D-Unitary ESPRIT Based Multi-Target Joint Range and Velocity Estimation Algorithm for FMCW Radar

open access: yesApplied Sciences, 2023
Millimeter-wave FMCW radar has been widely used in joint range-velocity estimation of multiple targets. However, most existing algorithms are unable to estimate the range-velocity information with high accuracy simultaneously and fail to discriminate the
Dan Wen   +3 more
doaj   +2 more sources

ADDIS-Graphs for Online Error Control With Application to Platform Trials. [PDF]

open access: yesBiom J
ABSTRACT In contemporary research, online error control is often required, where an error criterion, such as familywise error rate (FWER) or false discovery rate (FDR), shall remain under control while testing an a priori unbounded sequence of hypotheses.
Fischer L, Bofill Roig M, Brannath W.
europepmc   +2 more sources

Kernel Function-Based Ambiguity Function and Its Application on DOA Estimation in Impulsive Noise

open access: yesSensors, 2022
To solve the problem that the traditional ambiguity function cannot well reflect the time-frequency distribution characteristics of linear frequency modulated (LFM) signals due to the presence of impulsive noise, two robust ambiguity functions ...
Yuzi Dou, Sen Li
doaj   +1 more source

Fast adaptive esprit algorithm [PDF]

open access: yesIEEE/SP 13th Workshop on Statistical Signal Processing, 2005, 2005
The ESPRIT algorithm is a subspace-based high resolution method used in source localization and spectral analysis. It relies on the rotational invariance property of the signal subspace, and provides accurate estimates of the signal parameters. However, its main drawback is a high computational cost.
R. Badeau, G. Richard, B. David
openaire   +1 more source

Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation

open access: yesIEEE Transactions on Vehicular Technology, 2023
Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios.
Wen-Xuan Long, Rui Chen, M. Moretti
semanticscholar   +1 more source

Research on super resolution angle measurement based on esprit algorithm

open access: yesJournal of Physics: Conference Series, 2023
With the rapid development of communication, radar, sonar and many other fields, angle measurement has become a very important field in signal processing.
Wensha Zhao
semanticscholar   +1 more source

The influence of different PAST-based subspace trackers on DaPT parameter estimation [PDF]

open access: yesAdvances in Radio Science, 2012
In the context of parameter estimation, subspace-based methods like ESPRIT have become common. They require a subspace separation e.g. based on eigenvalue/-vector decomposition. In time-varying environments, this can be done by subspace trackers.
M. Lechtenberg, J. Götze
doaj   +1 more source

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