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A Matrix-Pencil Framework Empowering Joint Multi-Dimensional Parameter Estimation in High-Mobility Systems

  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Memorial University of Newfoundland

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

Abstract

With 6G technologies taking on new roles in the electrical domain, Orthogonal Time Frequency Space (OTFS) modulation has emerged as a key enabler for integrated sensing and communication. However, parameter estimation in multi-antenna and low-lattice-resolution OTFS (MA-F-OTFS) systems remains underexplored. To address this challenge, this work proposes a hybrid pilot framework based on Chirp structures and Frank sequences, and employs a matrix pencil algorithm to enable efficient joint estimation of multidimensional channel parameters in MA-F-OTFS, including angle, Doppler, and delay. The proposed approach demonstrates fast and accurate estimation performance. The study primarily focuses on Doppler and delay estimation while briefly outlining a joint angle estimation scheme. Simulation results validate the superior performance of the proposed algorithm in parameter estimation.

Original languageEnglish
Title of host publicationICC 2026 - IEEE International Conference on Communications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798319542090
DOIs
StatePublished - 2026
Externally publishedYes
Event2026 IEEE International Conference on Communications, ICC 2026 - Glasgow, United Kingdom
Duration: 24 May 202628 May 2026

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2026 IEEE International Conference on Communications, ICC 2026
Country/TerritoryUnited Kingdom
CityGlasgow
Period24/05/2628/05/26

Keywords

  • Fractional OTFS Channel
  • Matrix Pencil
  • Multi-Antenna
  • Parameter Estimation
  • Pilot Design

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