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Soft Information Aided Diagonal Kalman Filter for Joint Channel Estimation and Detection in Massive MIMO Systems

  • Xuanxiang Hu
  • , Zheng Wang*
  • , Yongming Huang
  • , Zhen Gao
  • *Corresponding author for this work
  • Southeast University, Nanjing
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a soft-information-aided diagonal Kalman filter (SIA-DKF) for joint channel estimation and symbol detection (JED) in massive multipleinput multiple-output (MIMO) systems. Specifically, building upon the Kalman filter (KF) framework for JED, the proposed SIA-DKF incorporates the symbol means and variances obtained from variational inference (VI) into the KF, improving its ability to track channels and mitigating mismatches in the update step. Furthermore, SIA-DKF not only exploits favorable propagation in massive MIMO to simplify the VI for symbol detection, but also employs a diagonal approximation of the covariance matrix at each channel update step, thereby significantly reducing the computational complexity. Simulations confirm that SIA-DKF improves the bit error rate (BER) with lower complexity.

Original languageEnglish
Title of host publication2026 IEEE Wireless Communications and Networking Conference, WCNC 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331577292
DOIs
Publication statusPublished - 2026
Externally publishedYes
Event2026 IEEE Wireless Communications and Networking Conference, WCNC 2026 - Kuala Lumpur, Malaysia
Duration: 13 Apr 202616 Apr 2026

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2026 IEEE Wireless Communications and Networking Conference, WCNC 2026
Country/TerritoryMalaysia
CityKuala Lumpur
Period13/04/2616/04/26

Keywords

  • favorable propagation
  • joint channel estimation and symbol detection
  • massive MIMO
  • Soft-information-aided diagonal Kalman filter

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