SBL-Based Joint Sparse Channel Estimation and Maximum Likelihood Symbol Detection in OSTBC MIMO-OFDM Systems-Reference-Cited by-同舟云学术

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SBL-Based Joint Sparse Channel Estimation and Maximum Likelihood Symbol Detection in OSTBC MIMO-OFDM Systems

Published:2018-05 Issue:5 Volume:67 Page:4220-4232
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Mishra Amrita^ORCID,Yashaswini N.S.^ORCID,Jagannatham Aditya K.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/8357823/08259038.pdf?arnumber=8259038

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Layer Sparse Bayesian Learning for mmWave Channel Estimation;IEEE Transactions on Vehicular Technology;2024

2. Off-Grid DOA Estimation Method Based on Sparse Bayesian Learning With Clustered Structural-Aware Prior Information;IEEE Transactions on Vehicular Technology;2023

3. A Study and Comparison of Different Sparse Bayesian Learning Algorithms in DOA Estimation;2022 5th International Conference on Information Communication and Signal Processing (ICICSP);2022-11-26

4. A systematic literature review on channel estimation in MIMO-OFDM system: performance analysis and future direction;Journal of Optical Communications;2022-10-26

5. Joint Sparse Channel and Clipping Level Estimation in OFDM-based IoT Networks: A Bayesian Learning Approach;2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2022-09-12

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