Deep-MLE: Fusion between a Neural Network and MLE for A Single Snapshot DOA Estimation
Author:
Affiliation:
1. University of Twente - Enschede,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747692.pdf?arnumber=9747692
Reference21 articles.
1. Single-Snapshot Direction-of-Arrival Estimation of Multiple Targets using a Multi-Layer Perceptron
2. Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation
3. High-resolution angle estimation for an automotive FMCW radar sensor;schoor;Proc of the International Radar Symposium (IRS),2007
4. ULA and MRA beamforming using conventional and particle filter based algorithms
5. Single snapshot DOA estimation
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2. An automated multi-layer perceptron discriminative neural network based on Bayesian optimization achieves high-precision one-source single-snapshot direction-of-arrival estimation;Scientific Reports;2024-05-05
3. Vehicular-Motion-Based DOA Estimation With a Limited Amount of Snapshots for Automotive MIMO Radar;IEEE Transactions on Aerospace and Electronic Systems;2023-12
4. Fusion Model Using a Neural Network and MLE for a Single Snapshot DOA Estimation with Imperfection Mitigation;2023 IEEE International Radar Conference (RADAR);2023-11-06
5. Enhanced Single-Snapshot 1-D and 2-D DOA Estimation Using Particle Swarm Optimization;Traitement du Signal;2023-06-28
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