Direction|of|Arrival Estimation Method Based on Neural Network ...

Direction-of-Arrival Estimation Method Based on Neural Network ...

Acoustic vector sensor (AVS) is a kind of sensor widely used in underwater detection. Traditional methods use the covariance matrix of the ...

DOA Estimation Method Based on Neural Network - IEEE Xplore

Abstract: Traditional signal direction of arrival (DOA) estimation algorithm has exist some problems, such as a large amount of calculation and slow ...

Direction of Arrival Estimation by Using Artificial Neural Networks

Abstract: Direction-of-arrival (DOA) evaluation involves the procedure by which multiple electromagnetic (EM) waves from the outputs of various receiving ...

Direction-of-Arrival Estimation Method Based on Neural Network ...

DOA Estimation Based on LSTM Neural Network with Uniform Linear Antenna Array ... Radio Direction Finding system is a system that determines the direction or ...

Performance analysis of deep neural networks for direction of arrival ...

We propose a novel algorithm to estimate the DOAs from narrowband signals based on the DNN technique. The neural network architecture is ...

Deep learning-based Direction-of-arrival estimation for far-field ...

This paper proposes a deep learning-based Direction-of-arrival (DOA) estimation to detect interfered far-field sources. The proposed method consists of a ...

Super resolution DOA estimation based on deep neural network

Recently, deep neural network (DNN) studies on direction-of-arrival (DOA) estimations have attracted more and more attention. This new method ...

Direction-of-Arrival Estimation Using A Machine Learning Framework

A proposition was made [12] for a DoA estimation method based on deep neural networks that could achieve better estimation results than the methods based on ...

Direction of Arrival Estimation by Using Artificial Neural Networks

The training stage of an ANN needs significant time and sources but after training, the estimation by using ANN is very fast. In this study, an ANN approach has ...

Direction of Arrival Estimation for Coherent Signals' Method Based ...

Usually, convolutional neural network algorithms can extract the basic nonlinear structures of the input data. Therefore, CNN with a simple ...

Neural network-based DOA estimation for distributed sources in ...

Among these systems, direction of arrival (DOA) estimation is a crucial task as it enables downlink precoding and localization, thereby significantly improving ...

DOA Estimation Method Based on Improved Deep Convolutional ...

For the multi-target DOA estimation problem of uniform linear arrays, this paper proposes a DOA estimation method based on the deep convolution neural network.

Direction-of-Arrival Estimation for a Random Sparse Linear Array ...

This article proposes a direction-of-arrival (DOA) estimation algorithm for a random sparse linear array based on a novel graph neural network (GNN).

Regression and Classification for Direction-of-Arrival Estimation with ...

Abstract:We present a novel learning-based approach to estimate the direction-of-arrival (DOA) of a sound source using a convolutional ...

Efficient Neural Network Approach for 2D DOA Estimation Based on ...

In this paper, we present an efficient Artificial Neural Network (ANN)-based model to estimate both azimuth and elevation arrival angles of a signal source.

DoA and ToA Estimation Method of OFDM Signal Based on ...

[7] Chen, Min, Yi Gong, and Xingpeng Mao. "Deep Neural Network for Estimation of Direction of. Arrival With Antenna Array." IEEE Access 8 (2020): 140688-140698.

Improved direction-of-arrival estimation method based on LSTM ...

Hence, an improved DOA estimation method based on long short-term memory (LSTM) neural networks for situations with array imperfections is ...

Direction of Arrival Estimation Using One-dimensional Convolutional ...

However, DL methods, being data-driven, make analytical process of signal or array less important. In this paper, a neural network architecture ...

Online Direction of Arrival Estimation Based on Deep Learning

A supervised learning algorithm for DOA estimation combining convolutional neural network (CNN) and long short term memory (LSTM) is proposed, ...

A feedforward neural network for direction-of-arrival estimation

This paper examines the relationship between conventional beamforming and linear supervised learning, then develops a nonlinear deep ...