DOA Estimation Method Based on Improved Deep Convolutional Neural Network

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. The algorithm adopts the deep convolutional neural network, and the DOA estimation problem of the array signal is transformed into the inver...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 4; s. 1305
Hlavní autori:	Zhao, Fangzheng, Hu, Guoping, Zhan, Chenghong, Zhang, Yule
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 09.02.2022 MDPI
Predmet:	Algorithms Computer Simulation covariance matrix deep convolutional neural network Deep learning DOA estimation Methods Neural networks Neural Networks, Computer Noise Propagation Signal processing the upper triangular matrix DOA estimation deep convolutional neural network the upper triangular matrix covariance matrix
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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