DOA Estimation Using an Unfolded Deep Network in the Presence of Array Imperfections
Author:
Affiliation:
1. China Electronic Device System-Engineering Corporation,Beijing,China
2. National University of Defense Technolog,College of Electronic Science,Changsha,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9886003/9885802/09886344.pdf?arnumber=9886344
Reference25 articles.
1. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System
2. Altitude measurement based on characteristics reversal by deep neural network for vhf radar;chen;IET Radar Sonar and Navigation,2019
3. Toward Wide-Frequency-Range Direction Finding With Support Vector Regression
4. Deep Convolution Network for Direction of Arrival Estimation With Sparse Prior
5. A Unified Framework and Sparse Bayesian Perspective for Direction-of-Arrival Estimation in the Presence of Array Imperfections
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