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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.
Sensors (Basel, Switzerland)
|December 17, 2024
Summary
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.
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.
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