Expectation maximization channel estimation for nonlinear OFDM systems

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Authors

  • Nguyen Thanh (Corresponding Author) Le Quy Don Technical University
  • Mai Thanh Hai Le Quy Don Technical University
  • Nguyen Huu Tho Le Quy Don Technical University
  • Nguyen Thi Thao Academy of Military Science and Technology
  • Nguyen Tat Nam Department for Standard, Metrology & Quality

DOI:

https://doi.org/10.54939/1859-1043.j.mst.81.2022.31-43

Keywords:

Nonlinear distortion; Channel estimation; Expectation maximization; OFDM.

Abstract

This paper introduces the expectation maximization (EM)-based channel estimation for the high power amplifier (HPA)-incurred nonlinear orthogonal frequency division multiplexing (OFDM) systems based on the linearization using extended Bussgang decomposition. Analyses and numerical simulations show that the proposed algorithm only requires reasonable computation complexity with relatively small number of iterations while vastly improves the estimation performance compared to the other conventional estimation methods such as least square error (LSE) or minimum mean square error (MMSE) applied to such system. Moreover, the EM-LSE estimator could give almost the same performance as the EM-MMSE counterpart while does not require channel statistics, forming a robust estimator for both fading and nonlinear channels with reduced computation complexity. This makes the estimator more applicable.

References

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Published

26-08-2022

How to Cite

Nguyễn, T., Mai Thanh Hai, Nguyen Huu Tho, Nguyen Thi Thao, and Nguyen Tat Nam. “Expectation Maximization Channel Estimation for Nonlinear OFDM Systems”. Journal of Military Science and Technology, no. 81, Aug. 2022, pp. 31-43, doi:10.54939/1859-1043.j.mst.81.2022.31-43.

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