Results 31 to 40 of about 6,597 (217)

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

Source bearing and steering-vector estimation using partially calibrated arrays

open access: yes, 2009
The problem of source direction-of-arrival (DOA) estimation using a sensor array is addressed, where some of the sensors are perfectly calibrated, while others are uncalibrated. An algorithm is proposed for estimating the source directions in addition to
Lu, Y., Li, M.
core   +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

Angle of arrival estimation for broadband signals : a comparison

open access: yes, 2013
This paper reviews and compares three different linear algebraic signal subspace techniques for angle of arrival estimation. These include a polynomial matrix approach to multiple signal classification (MUSIC), a parameterised spatial covariance matrix ...
Weiss, Stephan   +9 more
core   +1 more source

Accurate angle-of-arrival measurement using particle swarm optimization

open access: yes, 2010
As one of the major methods for location positioning, angle-of-arrival (AOA) estimation is a significant technology in radar, sonar, radio astronomy, and mobile communications.
Ho, Kwok Shun   +5 more
core   +1 more source

AN EIGEN-APPROACH FOR JOINT ESTIMATION OF DIRECTION-OF-ARRIVAL AND FREQUENCY OF AN UNKNOWN NUMBER OF SIGNALS

open access: yesJordanian Journal of Computers and Information Technology, 2020
An accurate method for estimating the direction-of-arrival (DOA) jointly with the frequencies of an unknown number of source signals is proposed using the Eigen-approach. Using the minimum eigenvalues of the autocorrelation matrices produces both the DOA
Thabet Mismar
doaj   +1 more source

DOA Estimation in Non-Uniform Noise Using Matrix Completion via Alternating Projection

open access: yesIEEE Open Journal of Antennas and Propagation, 2021
In this paper, direction-of-arrival (DOA) estimation in the presence of non-uniform noise is investigated. To achieve high estimation accuracy, the DOA estimation problem is solved with the use of a matrix completion approach.
Yingna Fei   +4 more
doaj   +1 more source

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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