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Title: | Doppler-resilient waveform and receiver design for high-mobility communications | Authors: | Wang, Feifan | Keywords: | Engineering | Issue Date: | 2025 | Publisher: | Nanyang Technological University | Source: | Wang, F. (2025). Doppler-resilient waveform and receiver design for high-mobility communications. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184675 | Abstract: | High-mobility communications face challenges due to doubly selective fading channels caused by both rapid movement and multipath effects. Although orthogonal frequency division multiplexing (OFDM) is widely adopted in communication standards, its performance degrades in time varying channels. While orthogonal time frequency space (OTFS) modulation provides robustness against Doppler spread, it suffers from high pilot overhead. To address these issues, a novel modulation technique called affine frequency division multiplexing (AFDM), based on the discrete affine Fourier transform, has emerged, achieving performance comparable to OTFS with reduced pilot overhead. Moreover, chirped discrete Fourier transform spread OFDM (DFT-s-OFDM) demonstrates enhanced Doppler resilience compared to conventional DFT-s-OFDM. In this dissertation, we investigate a number of modulation waveforms, such as OFDM, OTFS, AFDM, DFT-s-OFDM, and chirped DFT-s-OFDM, followed by the study of equalization and detection techniques, including maximum likelihood (ML), minimum mean square error (MMSE), and message passing (MP). Under the same spectral efficiency, chirped DFT-s-OFDM exhibits performance similar to AFDM and with lower peak-to-average power ratio (PAPR). In terms of equalizers, MP equalizer with lowest complexity generally outperforms MMSE equalizer in most scenarios and also achieves performance close to that of ML equalizer in some scenarios. | URI: | https://hdl.handle.net/10356/184675 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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Wang Feifan-Dissertation_05052025.pdf Restricted Access | 3.15 MB | Adobe PDF | View/Open |
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