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Progressive Inter-Path Interference Cancellation Algorithm for Channel Estimation Using Orthogonal Time-Frequency
Mauro Marchese1, Henk Wymeersch2, Paolo Spallaccini3
1Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.
This study introduces an improved channel estimation algorithm for orthogonal time-frequency space (OTFS) systems, significantly reducing complexity and enhancing accuracy by progressively canceling inter-path interference (IPI). The new method achieves superior performance in fractional delay-Doppler (DD) scenarios.
Area of Science:
- Wireless Communications
- Signal Processing
Background:
- Orthogonal Time-Frequency Space (OTFS) modulation offers advantages in high-Doppler environments.
- Fractional delay-Doppler (DD) channel estimation in OTFS is challenging due to inter-path interference (IPI).
Purpose of the Study:
- To develop a low-complexity and accurate channel estimation algorithm for fractional DD scenarios in OTFS systems.
- To reduce the computational complexity of existing IPI cancellation methods.
Main Methods:
- A novel variant of the delay-Doppler inter-path interference cancellation (DDIPIC) algorithm is proposed.
- The algorithm progressively cancels IPI during the estimation process.
- A final refinement step is incorporated to reduce overall complexity.
Main Results:
- The proposed algorithm demonstrates reduced computational complexity compared to the standard DDIPIC.
- Lower normalized mean square error (NMSE) is achieved.
- Improved bit error rate (BER) performance is observed.
Conclusions:
- The developed algorithm offers a more efficient approach to fractional DD channel estimation in OTFS.
- It effectively mitigates IPI while maintaining high accuracy.
- This advancement contributes to more robust and performant OTFS systems.
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