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

• المؤلفون الرئيسيون: Tan, Zhi-Wei, Liu, Yuan, Khong, Andy Wai Hoong, Nguyen, Anh H. T.
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Array Imperfections; Complex Neural Network
• الوصول للمادة أونلاين: 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...