Results 41 to 50 of about 167,695,400 (202)

Polynomial Manifold Interpolation for Direction Finding in the Presence of Mutual Coupling

open access: yesIEEE Access, 2019
Direction-of-arrival (DOA) estimation in the presence of mutual coupling among the antennas is an important problem in direction finding systems. To address the mutual coupling issue, a polynomial manifold interpolation approach is proposed in this paper.
Hongtao Duan   +4 more
doaj   +1 more source

2D DOA estimation based on matrix method and joint diagonalization technique

open access: yesTongxin xuebao, 2013
When space phase factors are the same in one direction or two orthogonal directions,the convensional direction-of-arrival methods cannot estimate DOA effectly,resulting in performance degradation.Therefore,joint diagonalization technique was utilized to ...
Hai-qiang ZHANG   +3 more
doaj   +2 more sources

Development of Monitoring Methods for a GPS based Smart Antenna System

open access: yesACI Avances en Ciencias e Ingenierías, 2013
One of the key parameters in the processing system of a smart antenna system is the direction of arrival of the signal of interest (DOA). DOA’s estimation traditionally performed spectral analysis on the signal received by the antenna array ...
Francisco Cuesta, René P. Játiva E.
doaj   +1 more source

Underwater Ambiguity Elimination Method Based on Co-Prime Sensor Array

open access: yesSensors, 2020
Recently, the direction of arrival estimation with co-prime arrays has gradually been applied in underwater scenarios because of its significant advantages over traditional uniform linear arrays.
Tian Lan, Yilin Wang, Longhao Qiu
doaj   +1 more source

A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband

open access: yesFuture Internet, 2013
Most direction-of-arrival (DOA) estimation approaches for conformal array suffer from high computational complexity, which cause high energy loss for the direction finding system.
Liangtian Wan   +3 more
doaj   +1 more source

2D-DOA Estimation in Multipath Using EMVS Rectangle Array

open access: yesRemote Sensing, 2023
Electromagnetic vector sensor (EMVS) arrays bring an epochal opportunity for direction finding, as they enable the estimation of two-dimensional direction of arrival (2D-DOA) and polarization characteristics.
Zhe Zhang   +3 more
doaj   +1 more source

Improved DOA estimation using polarisation diversity : simulations using a wideband propagation model [PDF]

open access: yes, 2000
This paper investigates the performance of a number of direction-of-arrival (DOA) estimation algorithms in a wideband macrocellular channel using a dual-polarised antenna array.
Temeh, EK, Nix, AR, AlMidfa, K
core   +1 more source

Improved Power Tracking and Performance Evaluation Using a Tri‐Meta Hybrid DOA–CSA–WOA‐Based MPPT Controller for Standalone PV System

open access: yesEnergy Science &Engineering, EarlyView.
A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas   +6 more
wiley   +1 more source

Beamforming Direction of Arrival (DoA) Based in a Software-Defined Radio [PDF]

open access: yesJournal of Microwaves, Optoelectronics and Electromagnetic Applications
This paper presents the development and experimental validation of a low-cost Direction of Arrival (DoA) estimation system using Software-Defined Radio (SDR) technology. The system employs an NI USRP B-210 with two printed log-periodic dipole antennas in
Marcelo B. Perotoni   +2 more
doaj   +2 more sources

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

open access: yesIbrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

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