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Low Earth Orbit (LEO) satellite communication technology is set to become a cornerstone of future 6G communications, offering cost-effective and flexible deployment solutions. As mobile applications proliferate and emerging technologies like artificial intelligence, the Internet of Things, and augmented reality advance, the demand for spectrum resources is rapidly increasing. Filter Bank Multi-Carrier (FBMC) has emerged as a leading candidate waveform for 6G due to its superior spectrum resource utilization. This paper provides an in-depth investigation of an FBMC-based LEO satellite communication system, detailing the system architecture, channel estimation design, and performance evaluation. Through comprehensive simulation experiments, we rigorously analyze the performance of various channel estimation algorithms in LEO satellite communication environments, focusing on Bit Error Rate (BER) performance and practical applicability. Moreover, we propose an optimization strategy based on DMRS-Bundling to further enhance the performance of these channel estimation algorithms, ensuring the reliability and efficiency of LEO satellite communication systems.

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Research and Simulation of Channel Estimation of FBMC for LEO-Satellite Internet Network Oriented by PAA

  • 会议论文

  • 发表日期：

    2026年

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  • Wenjia Wang,
  • Wenliang Lin,
  • Ke Wang,
  • Zhongliang Deng,
  • Xinchen Zhang,
  • Qiushi Cui

摘要

Low Earth Orbit (LEO) satellite communication technology is set to become a cornerstone of future 6G communications, offering cost-effective and flexible deployment solutions. As mobile applications proliferate and emerging technologies like artificial intelligence, the Internet of Things, and augmented reality advance, the demand for spectrum resources is rapidly increasing. Filter Bank Multi-Carrier (FBMC) has emerged as a leading candidate waveform for 6G due to its superior spectrum resource utilization. This paper provides an in-depth investigation of an FBMC-based LEO satellite communication system, detailing the system architecture, channel estimation design, and performance evaluation. Through comprehensive simulation experiments, we rigorously analyze the performance of various channel estimation algorithms in LEO satellite communication environments, focusing on Bit Error Rate (BER) performance and practical applicability. Moreover, we propose an optimization strategy based on DMRS-Bundling to further enhance the performance of these channel estimation algorithms, ensuring the reliability and efficiency of LEO satellite communication systems.