Low-PAPR Joint Channel Estimation and Data Detection in ZP-OTFS System
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866914333294854144 |
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| author | Aghda, Omid Abbassi Omidi, Mohammad Javad Saeedi-Sourck, Hamid |
| author_facet | Aghda, Omid Abbassi Omidi, Mohammad Javad Saeedi-Sourck, Hamid |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2304_01681 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Low-PAPR Joint Channel Estimation and Data Detection in ZP-OTFS System Aghda, Omid Abbassi Omidi, Mohammad Javad Saeedi-Sourck, Hamid Information Theory Signal Processing 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. |
| title | Low-PAPR Joint Channel Estimation and Data Detection in ZP-OTFS System |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2304.01681 |