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arXiv · 2304.01681

Low-PAPR Joint Channel Estimation and Data Detection in ZP-OTFS System

Omid Abbassi Aghda·Mohammad Javad Omidi·Hamid Saeedi-Sourck
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Abstract

Orthogonal Time Frequency Space (OTFS) systems face significant challenges in channel estimation due to high pilot overhead and peak-to-average power ratio (PAPR). To address these issues, we propose a two-step channel estimation method for Zero-Pad OTFS (ZP-OTFS), a modified OTFS system characterized by multiple zero rows along the delay axis. This method strategically inserts pilot sequences into the zero bins of the ZP-OTFS system, effectively mitigating overhead and PAPR. Comprehensive simulation results validate the effectiveness of our proposed method, demonstrating its superior performance over traditional embedded pilot estimation in high Signal-to-Noise Ratio (SNR) scenarios. Specifically, our method achieves a lower normalized mean square error (NMSE) and better bit error rates (BER) at high SNRs.

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Omid Abbassi Aghda, Mohammad Javad Omidi, Hamid Saeedi-Sourck. 2023-04-04. Low-PAPR Joint Channel Estimation and Data Detection in ZP-OTFS System. https://doi.org/10.1109/tvt.2024.3435934

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