Results 21 to 30 of about 15,526 (257)

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

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

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

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

A fast method for direction-of-arrival estimation

open access: yesSadhana, 1999
In many eigenvalue-eigenvector-based direction-of-arrival estimation algorithms, one finds orthogonal basis vectors for the noise subspace. We propose a circulant basis for the noise space which can be calculated more efficiently than an orthogonal basis.
Sharma, G., Raina, A. K.
openaire   +3 more sources

Direction of arrival estimation for nanoscale sensor networks [PDF]

open access: yesProceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, 2018
Nanoscale wireless sensor networks (NWSNs) could be within reach soon using graphene-based antennas, which resonate in 0.1-10 terahertz band. To conserve the limited energy available at nanoscale, it is expected that NWSNs will communicate using extremely short pulses on the order of femtoseconds.
Shree M. Prasad   +2 more
openaire   +2 more sources

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

Total Least Squares Method for Direction of Arrival Estimation [PDF]

open access: yesJisuanji gongcheng, 2019
In the Time Difference of Arrival(TDOA) positioning technology,when the position coordinates of the sensor have errors,the estimated value obtained by the Least Squares(LS) method no longer has the best unbiasedness,resulting in a decrease in the ...
WANG Hai, ZHANG Menghan, CUI Xunxue
doaj   +1 more source

Enhanced Direction of Arrival Estimation Using Non-Uniform Arrays [PDF]

open access: yesThe Egyptian International Journal of Engineering Sciences and Technology
This paper focuses on the application of non-uniform arrays (NUAs) to achieve high-level arrival direction estimation (DOAs) and to solve challenges such as target separation and a reduced snapshot. The proposed research includes a theoretical derivative
Azhar Hamdi   +4 more
doaj   +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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