Channel Spreading Function-Inspired Channel Transfer Function Estimation for OFDM Systems with High-Mobility
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arXiv
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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866915055779446784 |
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| author | Ma, Yiyan Ai, Bo Ma, Guoyu Shafie, Akram Cheng, Qingqing Yang, Mi Li, Jingli Pang, Xuebo Yuan, Jinhong Zhong, Zhangdui |
| author_facet | Ma, Yiyan Ai, Bo Ma, Guoyu Shafie, Akram Cheng, Qingqing Yang, Mi Li, Jingli Pang, Xuebo Yuan, Jinhong Zhong, Zhangdui |
| contents | In this letter, we propose a novel channel transfer function (CTF) estimation approach for orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, that leverages the stationary properties of the delay-Doppler domain channel spreading function (CSF). First, we develop a CSF estimation model for OFDM systems that relies solely on discrete pilot symbols in the time-frequency (TF) domain, positioned at predefined resource elements. We then present theorems to elucidate the relationship between CSF compactness and pilot spacing in the TF domain for accurate CSF acquisition. Based on the estimated CSF, we finally estimate the CTF for data symbols. Numerical results show that, in high-mobility scenarios, the proposed approach outperforms traditional interpolation-based methods and closely matches the optimal estimator in terms of estimation accuracy. This work may pave the way for CSF estimation in commercial OFDM systems, benefiting high-mobility communications, integrated sensing and communications, and related applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_07074 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Channel Spreading Function-Inspired Channel Transfer Function Estimation for OFDM Systems with High-Mobility Ma, Yiyan Ai, Bo Ma, Guoyu Shafie, Akram Cheng, Qingqing Yang, Mi Li, Jingli Pang, Xuebo Yuan, Jinhong Zhong, Zhangdui Signal Processing In this letter, we propose a novel channel transfer function (CTF) estimation approach for orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, that leverages the stationary properties of the delay-Doppler domain channel spreading function (CSF). First, we develop a CSF estimation model for OFDM systems that relies solely on discrete pilot symbols in the time-frequency (TF) domain, positioned at predefined resource elements. We then present theorems to elucidate the relationship between CSF compactness and pilot spacing in the TF domain for accurate CSF acquisition. Based on the estimated CSF, we finally estimate the CTF for data symbols. Numerical results show that, in high-mobility scenarios, the proposed approach outperforms traditional interpolation-based methods and closely matches the optimal estimator in terms of estimation accuracy. This work may pave the way for CSF estimation in commercial OFDM systems, benefiting high-mobility communications, integrated sensing and communications, and related applications. |
| title | Channel Spreading Function-Inspired Channel Transfer Function Estimation for OFDM Systems with High-Mobility |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2412.07074 |