Semi-Blind Multi-Modulus Approach Using Embedded Pilot for MIMO-OFDM Communications

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

2 Scopus citations

Abstract

This work proposes an effective source separation technique based on a semi-blind multi-modulus approach for an embedded pilot scenario in a Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication system. A jointly hybrid cost function is developed based on the Multi-Modulus (MM) and Least Squares (LS) for a semi-blind channel estimation. A straightforward yet effective semi-blind block gradient descent optimization approach is used. In addition, a technique for optimizing the step size is introduced to improve the convergence rate of the proposed algorithm. The proposed semi-blind technique for a superimposed pilot scheme is compared to the Time-division Multiplexed pilots (i.e., block pilot arrangement) in terms of the symbol error rate and the throughput. The extensive simulation results demonstrate that the inherent ambiguity in the blind estimation is preserved, and the result shows excellent performance and bandwidth trade-offs.

Original languageEnglish
Title of host publicationConference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1547-1551
Number of pages5
ISBN (Electronic)9798350354058
DOIs
StatePublished - 2024
Event58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024 - Hybrid, Pacific Grove, United States
Duration: 27 Oct 202430 Oct 2024

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
Country/TerritoryUnited States
CityHybrid, Pacific Grove
Period27/10/2430/10/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Least Squares (LS)
  • MIMO-OFDM
  • Multi-Modulus
  • Semi-blind source separation
  • Superimposed pilot schemes

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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