Estimation of the Two-Dimensional Direction of Arrival for Low-Elevation and Non-Low-Elevation Targets Based on Dilated Convolutional Networks

This paper addresses the problem of the two-dimensional direction-of-arrival (2D DOA) estimation of low-elevation or non-low-elevation targets using L-shaped uniform and sparse arrays by analyzing the signal models’ features and their mapping to 2D DOA. This paper proposes a 2D DOA estimation algori...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Guoping Hu, Fangzheng Zhao, Bingqi Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-06-01
Edice:	Remote Sensing
Témata:	2D DOA estimation low-elevation-angle targets L-shaped uniform array L-shaped sparse array dilated convolutional autoencoder dilated convolutional neural network
On-line přístup:	https://www.mdpi.com/2072-4292/15/12/3117
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!