Gridless DOA estimation using complex-valued convolutional neural network with phasor normalization

• Main Authors: Tan, Zhi-Wei, Liu, Yuan, Khong, Andy Wai Hoong, Nguyen, Anh H. T.
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Engineering::Electrical and electronic engineering; Array Imperfections; Complex Neural Network
• 在線閱讀: https://hdl.handle.net/10356/171213

We propose a complex LeDIM-net (C-LeDIM-net) convolutional neural network (CNN) that employs a newly-formulated complex phasor normalization for gridless direction-of-arrival (DOA) estimation. Unlike existing deep learning (DL) approaches, C-LeDIM-net extracts explicit phase information in its inter...