Gridless DOA Estimation Using Complex-Valued Convolutional Neural Network With Phasor Normalization
Author:
Affiliation:
1. School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
2. NamiTech JSC, Ho Chi Minh City, Vietnam
Funder
A*STAR through IAF-ICP Programme
Delta-NTU Corporate Lab
Delta Electronics Inc.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10172255.pdf?arnumber=10172255
Reference26 articles.
1. Gradient-based learning applied to document recognition
2. Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals
3. A Dilated Inception Convolutional Neural Network for Gridless DOA Estimation Under Low SNR Scenarios
4. A Gridless DOA Estimation Method Based on Convolutional Neural Network With Toeplitz Prior
5. Improving the resolution performance of eigenstructure-based direction-finding algorithms
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