Robust Super-resolution Frequency Division Duplex (FDD) Channel Estimation
ID:36 View Protection:ATTENDEE Updated Time:2020-08-05 10:16:59 Hits:552 Oral Presentation

Start Time:2020-06-09 14:45(Asia/Shanghai)

Duration:15min

Session:R Regular Session » R01Massive MIMO and Millimeter Wave Communications

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Abstract
Channel estimation is the process of estimating channel parameters from the received samples, which are corrupted by noise. Most of the conventional methods are designed for noise-free or Gaussian noise environment. However, impulsive noise, which is also referred to as outliers, is common in practice and performance of the conventional algorithms degrades in the presence of outliers. In this paper, we propose a robust super-resolution channel estimation algorithm to deal with outliers by replacing l1-norm constraints with l2-norm constraints to enhance robustness to outliers and solving an improved convex program to obtain the channel parameters, the angles and time delays then are estimated jointly. Simulation results show that the proposed robust super-resolution channel estimation algorithm outperforms the traditional methods and show great robustness to the outliers.
Keywords
frequency division duplex; channel estimation; robust; super-resolution; outliers
Speaker
Yan Liu
Shanghai Jiao Tong University, China

Submission Author
Yan Liu Shanghai Jiao Tong University, China
Xue Jiang Shanghai Jiaotong University, China
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    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

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  • Apr 15 2020

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  • Dec 31 2020

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