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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

Research on Underdetermined DOA Estimation Method with Unknown Number of Sources Based on Improved CNN [PDF]

open access: yesSensors, 2023
This paper proposes a joint estimation method for source number and DOA based on an improved convolutional neural network for unknown source number and undetermined DOA estimation.
Fangzheng Zhao   +3 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

An Ultra-fast DOA Estimator with Circular Array Interferometer Using Lookup Table Method [PDF]

open access: yes, 2015
The time-consuming phase ambiguity resolution makes the uniform circular array (UCA) interferometer not suitable for real-time direction-of-arrival (DOA) estimation. This paper introduces the lookup table (LUT) method to solve this problem.
Huang, J. J.   +4 more
core   +4 more sources

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

Maximum likelihood DOA estimation based on improved invasive weed optimization algorithm and application of MEMS vector hydrophone array

open access: yesAIMS Mathematics, 2022
Direction of arrival (DOA) estimation based on Maximum Likelihood is a common method in array signal processing, with many practical applications, but the huge amount of calculation limits the practical application.
Peng Wang   +4 more
doaj   +1 more source

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