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

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

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...

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書目詳細資料
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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