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Joint Model-Order and Robust DoA Estimation for Underwater Sensor Arrays [PDF]

open access: yesSensors, 2023
The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based sparse reconstruction techniques have been investigated for DoA estimation due to ...
Umar Hamid   +2 more
doaj   +2 more sources

Hierarchical Sectorized ANN Model for DoA Estimation in Smart Textile Wearable Antenna Array Under Strong Noise Conditions [PDF]

open access: yesSensors
A novel hierarchical sectorized neural network module for a fast direction of arrival (DoA) estimation (HSNN-DoA) of the signal received by a textile wearable antenna array (TWAA) under strong noise conditions is presented.
Zoran Stanković   +2 more
doaj   +2 more sources

Two-Stage Fast DOA Estimation Based on Directional Antennas in Conformal Uniform Circular Array

open access: yesSensors, 2021
In conformal array radar, due to the directivity of antennas, the responses of the echo signals between different antennas are distinct, and some antennas cannot even receive the target echo signal.
Yao Xie   +4 more
doaj   +1 more source

Performance analysis of deep neural networks for direction of arrival estimation of multiple sources

open access: yesIET Signal Processing, 2023
Recently, popular machine learning algorithms have successfully been applied to the direction of arrival (DOA) estimation. An implementation of determination of DOA estimation is presented based on deep neural networks (DNNs) to reduce the computational ...
Min Chen, Xingpeng Mao, Xiuhong Wang
doaj   +1 more source

Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm Minimization

open access: yesRemote Sensing, 2022
Deep unfolded networks have recently been regarded as an essential way to direction of arrival (DOA) estimation due to the fast convergence speed and high interpretability. However, few consider gridless DOA estimation.
Hangui Zhu   +4 more
doaj   +1 more source

A novel DOA estimation method for an antenna array under strong interference

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
Strong interference will affect direction of arrival (DOA) estimation of weak desired signal and even cause DOA estimation failure. This paper investigates the weak signal DOA estimation for an antenna array under strong interference signals, and ...
Ming Zuo, Shuguo Xie
doaj   +1 more source

Direction-of-Arrival Estimation Method Based on Neural Network with Temporal Structure for Underwater Acoustic Vector Sensor Array

open access: yesSensors, 2023
Acoustic vector sensor (AVS) is a kind of sensor widely used in underwater detection. Traditional methods use the covariance matrix of the received signal to estimate the direction-of-arrival (DOA), which not only loses the timing structure of the signal
Yangyang Xie, Biao Wang
doaj   +1 more source

2D-DOA Estimation in Switching UCA Using Deep Learning-Based Covariance Matrix Completion

open access: yesSensors, 2022
In this paper, we study the two-dimensional direction of arrival (2D-DOA) estimation problem in a switching uniform circular array (SUCA), which means performing 2D-DOA estimation with a reduction in the number of radio frequency (RF) chains.
Ruru Mei   +3 more
doaj   +1 more source

Research on DOA estimation algorithm for coherent signal under low signal to noise ratio

open access: yesDianzi Jishu Yingyong, 2018
In order to solve the problem of low coherent signal DOA estimation accuracy and low resolution in low signal to noise ratio, this paper proposes a DOA estimation algorithm for coherent signal under low SNR.
Ren Quanhui, Chen Xiangcheng
doaj   +1 more source

The direction of arrival estimation method based on gridless compressed sensing

open access: yes上海师范大学学报. 自然科学版, 2020
Efficient direction of arrival(DOA) estimation for densely distributed targets was a difficult and hot spot in current high-precision positioning technology.There were many problems and issuesfor existing DOA estimation methods which were designed based ...
GU Xu, WEI Shuang, LI Li, SU Ying
doaj   +1 more source

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