A Gridless DOA Estimation Method Based on Convolutional Neural Network With Toeplitz Prior
Author:
Affiliation:
1. School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China
Funder
National Natural Science Foundation of China
Open Research Project of the State Key Laboratory of Industrial Control Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/9686799/09779448.pdf?arnumber=9779448
Reference22 articles.
1. Coherent SVR Learning for Wideband Direction-of-Arrival Estimation
2. Wideband DOA estimation based on deep residual learning with Lyapunov stability analysis;yao;IEEE Geosci Remote Sens Lett,2021
3. DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation
4. Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving
5. Vandermonde Decomposition of Multilevel Toeplitz Matrices With Application to Multidimensional Super-Resolution
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