Results 21 to 30 of about 208,274 (242)

Blind channel equalization using weighted subspace methods [PDF]

open access: yes, 1999
This paper addresses the problems of blind channel estimation and symbol detection with second order statistics methods from the received data. It can be shown that this problem is similar to direction of arrival (DOA) estimation, where many solutions ...
Cabrera-Bean, Margarita   +1 more
core   +1 more source

Design of sparse arrays via deep learning for enhanced DOA estimation

open access: yesEURASIP Journal on Advances in Signal Processing, 2021
This paper introduces an enhanced deep learning-based (DL) antenna selection approach for optimum sparse linear array selection for direction-of-arrival (DOA) estimation applications.
Steven Wandale, Koichi Ichige
doaj   +1 more source

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation [PDF]

open access: yes, 2010
The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-642-15995-4_57ESPRC Leadership Fellowship EP/G007144/1EPSRC Platform Grant EP/045235/1EU FET-Open Project FP7-ICT-225913 ...
D. Malioutov   +7 more
core   +4 more sources

An improved algorithm for multiple source direction of arrival estimation

open access: yesMATEC Web of Conferences, 2018
Based on MUSIC-LIKE algorithm, an improved algorithm for multiple source direction of arrival estimation was proposed to resolve the problem, the enabled estimation number of source for traditional direction of arrival estimation algorithm restricted by ...
Wang Xuecheng, Ma Jinquan
doaj   +1 more source

Direction finding by sparse‐based approach for dual‐polarised conformal array in the presence of gain and phase uncertainties

open access: yesIET Radar, Sonar & Navigation, 2023
This article investigates the problem of robust direction‐of‐arrival (DOA) estimation with unknown sensor gain and phase uncertainties. A Dual‐Polarised Regularised Multiple FOCal Underdetermined System Solver is proposed to estimate the 2‐D DOA for the ...
Chao Liu   +3 more
doaj   +1 more source

Novel Deterministic Detection and Estimation Algorithms for Colocated Multiple-Input Multiple-Output Radars

open access: yesIEEE Access, 2022
In this manuscript, the problem of detecting multiple targets and estimating their spatial coordinates (namely, their range and the direction of arrival of their electromagnetic echoes) in a colocated multiple-input multiple-output radar system operating
Pasquale Di Viesti   +3 more
doaj   +1 more source

Improving performance of direction-of-arrival estimation using sparse array in passive radar

open access: yesJournal of Algorithms & Computational Technology, 2020
A method based on sparse array is applied to direction-of-arrival estimation of passive radar in this paper to increase the number of resolvable sources and improve the direction-of-arrival estimation performance for coprime array.
Geng Chen   +3 more
doaj   +1 more source

Direction-of-Arrival Estimation Based on Joint Sparsity

open access: yesSensors, 2011
We present a DOA estimation algorithm, called Joint-Sparse DOA to address the problem of Direction-of-Arrival (DOA) estimation using sensor arrays. Firstly, DOA estimation is cast as the joint-sparse recovery problem.
Zhitao Huang, Yiyu Zhou, Junhua Wang
doaj   +1 more source

Array signal processing for maximum likelihood direction-of-arrival estimation [PDF]

open access: yes, 2013
Emitter Direction-of-Arrival (DOA) estimation is a fundamental problem in a variety of applications including radar, sonar, and wireless communications.
He, B., Li, M., Lu, Y.
core   +1 more source

High-Order Maximum Likelihood Methods for Direction of Arrival Estimation

open access: yesIEEE Open Journal of Signal Processing, 2021
It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direction Of Arrival (DOA) estimation methods. Particularly, the high-order MUltiple SIgnal Classification (MUSIC) method, also known as $ 2q$-MUSIC method ...
Mohammadhossein Barat   +2 more
doaj   +1 more source

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