Joint Model-Order and Robust DoA Estimation for Underwater Sensor Arrays [PDF]
Sensors, 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]
Sensors, 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]
SensorsA 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
Sensors, 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
DoA Estimation via Unlimited Sensing
2020 28th European Signal Processing Conference (EUSIPCO), 2021 Direction-of-arrival (DoA) estimation is a mature topic with decades of history. Despite the progress in the field, very few papers have looked at the problem of DoA estimation with unknown dynamic range. Consider the case of space exploration or near-field and far-field emitters.
Fernandez-Menduina, S. (author) +3 more
openaire +3 more sources
Performance analysis of deep neural networks for direction of arrival estimation of multiple sources
IET 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
Remote 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
Thinned coprime arrays for DOA estimation [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Raza, A., Liu, W., Shen, Q.
openaire +3 more sources
An Ultra-fast DOA Estimator with Circular Array Interferometer Using Lookup Table Method [PDF]
, 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
EURASIP 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