Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks
This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a denoising network to suppress outliers and fi...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2022/5325076 |
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