A Novel Approach to 3D-DOA Estimation of Stationary EM Signals Using Convolutional Neural Networks

Author:

Chen Dong,Joo Young HoonORCID

Abstract

This paper proposes a novel three-dimensional direction-of-arrival (3D-DOA) estimation method for electromagnetic (EM) signals using convolutional neural networks (CNN) in a Gaussian or non-Gaussian noise environment. First of all, in the presence of Gaussian noise, four output covariance matrices of the uniform triangular array (UTA) are normalized and then fed into four neural networks for 1D-DOA estimation with identical parameters in parallel; then four 1D-DOA estimations of the UTA can be obtained, and finally, the 3D-DOA estimation could be obtained through post-processing. Secondly, in the presence of non-Gaussian noise, the array output covariance matrices are normalized by the infinity-norm and then processed in Gaussian noise environment; the infinity-norm normalization could effectively suppress impulsive outliers and then provide appropriate input features for the neural network. In addition, the outputs of the neural network are controlled by a signal monitoring network to avoid misjudgments. Comprehensive simulations demonstrate that in Gaussian or non-Gaussian noise environment, the proposed method is superior and effective in computation speed and accuracy in 1D-DOA and 3D-DOA estimations, and the signal monitoring network could also effectively control the neural network outputs. Consequently, we can conclude that CNN has better generalization ability in DOA estimation.

Funder

National Research Foundation of Korea

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Network-Based DOA Estimation in the Presence of Non-Gaussian Interference;IEEE Transactions on Aerospace and Electronic Systems;2023

2. Research on safety detection of power terminal based on neural network;2022 6th International Symposium on Computer Science and Intelligent Control (ISCSIC);2022-11

3. Application of LSTM Neural Network Technology Embedded in English Intelligent Translation;Computational Intelligence and Neuroscience;2022-09-27

4. Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks;International Journal of Antennas and Propagation;2022-03-04

5. Novel Approach to 2D DOA Estimation for Uniform Circular Arrays Using Convolutional Neural Networks;International Journal of Antennas and Propagation;2021-07-08

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