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Low PAPR preamble-based channel estimation for OTFS systems on static multipath channels
In this paper we propose two preamble-based channel estimation methods for orthogonal time frequency space (OTFS) modulation. These new methods allow a robust channel estimation in noisy scenarios and static multipath channels. Moreover, the proposed preambles exhibit a strong resilience to nonlinea...
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Published in: | Digital signal processing 2023-05, Vol.136, p.103979, Article 103979 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper we propose two preamble-based channel estimation methods for orthogonal time frequency space (OTFS) modulation. These new methods allow a robust channel estimation in noisy scenarios and static multipath channels. Moreover, the proposed preambles exhibit a strong resilience to nonlinearities introduced by high power amplifiers (HPA). We demonstrate that our proposed methods outperform the existing techniques in the literature, allowing the HPA to work at a low input backoff (IBO). To the best of the authors' knowledge, this is the first paper that addresses a study of HPA linearity in OTFS systems. Finally, we show that the complexity of our channel estimators is low enough for an efficient hardware implementation. |
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ISSN: | 1051-2004 1095-4333 |
DOI: | 10.1016/j.dsp.2023.103979 |