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Multi-Pilot Channel Estimation for Orthogonal Time-Frequency Space Systems Based on Constant-Amplitude

Renjie Ju1, Yangyanhao Guo1, Xiaojuan Hou1

  • 1Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

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|December 17, 2024
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Summary
This summary is machine-generated.

Orthogonal Time-Frequency Space (OTFS) modulation is key for 6G. A new multi-pilot channel estimation method using Constant-Amplitude Zero-Autocorrelation (CAZAC) sequences enhances accuracy and reliability for high-speed mobile communications.

Keywords:
CAZACOTFSchannel estimationdelayed Doppler domain

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Area of Science:

  • Wireless communication systems
  • Signal processing for telecommunications

Background:

  • Orthogonal Frequency Division Multiplexing (OFDM) struggles with inter-carrier interference in high-speed mobile scenarios.
  • Orthogonal Time-Frequency Space (OTFS) modulation is a promising solution for future 6G systems.
  • Existing single-pilot channel estimation in OTFS suffers from path loss and inaccurate fading, degrading performance.

Purpose of the Study:

  • To propose a novel multi-pilot channel estimation scheme for OTFS systems.
  • To improve the accuracy and reliability of channel estimation in high-speed mobile communication environments.
  • To address the limitations of single-pilot estimation in OTFS.

Main Methods:

  • Implementation of a Constant-Amplitude Zero-Autocorrelation (CAZAC) sequence-based multi-pilot scheme.
  • Insertion of multiple low-power pilots in the delayed Doppler (DD) domain.
  • Application of joint signal processing at the receiver for noise suppression.

Main Results:

  • Significantly improved accuracy and reliability in OTFS channel estimation.
  • Effective suppression of noise through joint signal processing.
  • Analysis of CAZAC sequence length impact on estimation performance.

Conclusions:

  • The proposed CAZAC-based multi-pilot OTFS channel estimation scheme offers an innovative solution.
  • This method enhances communication quality for high-speed mobile scenarios.
  • The findings provide a theoretical foundation for 6G and future mobile communication technologies.