Gradient Descent-Based Direction-of-Arrival Estimation for Lens Antenna Array
Author:
Affiliation:
1. Global Big Data Technologies Centre, University of Technology Sydney, Ultimo, NSW, Australia
Funder
Australian Research Council Discovery Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10173502.pdf?arnumber=10173502
Reference22 articles.
1. DOA Estimation of Two Targets with Deep Learning
2. Efficient implementations of the modified Gram–Schmidt orthogonalization with a non-standard inner product
3. Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array
4. Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
5. A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms
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1. Low-Complexity Compressed Sensing-Aided Coherent Direction-of-Arrival Estimation for Large-Scale Lens Antenna Array;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. A review on new technologies in 3GPP standards for 5G access and beyond;Computer Networks;2024-05
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