Smoothed Sparse Blind DOA Estimation for MC-CDMA Systems Based on Tensor Decomposition
Author:
Affiliation:
1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10244213/10143296.pdf?arnumber=10143296
Reference15 articles.
1. Angle estimation for bistatic MIMO radar in the presence of spatial colored noise
2. Compressive Sampling Framework for 2D-DOA and Polarization Estimation in mmWave Polarized Massive MIMO Systems
3. An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems
4. SubTTD: DOA Estimation via Sub-Nyquist Tensor Train Decomposition
5. Multi-Invariance ESPRIT-Based Blind DOA Estimation for MC-CDMA With an Antenna Array
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1. Oblique Projection DOA Estimation Algorithm Based on Spatial Polarization Characteristics;IEEE Sensors Journal;2024-04-01
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