ISAC with Affine Frequency Division Multiplexing: An FMCW-Based Signal Processing Perspective
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915934298439680 |
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| author | Zhu, Jiajun Tang, Yanqun Yi, Cong Yin, Haoran Ni, Yuanhan Liu, Fan Wei, Zhiqiang Arslan, Huseyin |
| author_facet | Zhu, Jiajun Tang, Yanqun Yi, Cong Yin, Haoran Ni, Yuanhan Liu, Fan Wei, Zhiqiang Arslan, Huseyin |
| contents | This paper investigates the sensing potential of affine frequency division multiplexing (AFDM) in high-mobility integrated sensing and communication (ISAC) from the perspective of radar waveforms. We introduce an innovative parameter selection criterion that establishes a precise mathematical equivalence between AFDM subcarriers and Nyquist-sampled frequency-modulated continuous-wave (FMCW). This connection not only provides a clear physical insight into AFDM's sensing mechanism but also enables a direct mapping from the DAFT index to delay-Doppler (DD) parameters of wireless channels. Building on this, we develop a novel input-output model in a DD-parameterized DAFT (DD-DAFT) domain for AFDM, which explicitly reveals the inherent DD coupling effect arising from the chirp-channel interaction. Subsequently, we design two matched-filtering sensing algorithms. The first is performed in the time-frequency domain with low complexity, while the second is operated in the DD-DAFT domain to precisely resolve the DD coupling. Simulations show that our algorithms achieve effective pilot-free sensing and demonstrate a fundamental trade-off between sensing performance, communication overhead, and computational complexity. The proposed AFDM outperforms classical AFDM and other variants in most scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_12308 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ISAC with Affine Frequency Division Multiplexing: An FMCW-Based Signal Processing Perspective Zhu, Jiajun Tang, Yanqun Yi, Cong Yin, Haoran Ni, Yuanhan Liu, Fan Wei, Zhiqiang Arslan, Huseyin Signal Processing This paper investigates the sensing potential of affine frequency division multiplexing (AFDM) in high-mobility integrated sensing and communication (ISAC) from the perspective of radar waveforms. We introduce an innovative parameter selection criterion that establishes a precise mathematical equivalence between AFDM subcarriers and Nyquist-sampled frequency-modulated continuous-wave (FMCW). This connection not only provides a clear physical insight into AFDM's sensing mechanism but also enables a direct mapping from the DAFT index to delay-Doppler (DD) parameters of wireless channels. Building on this, we develop a novel input-output model in a DD-parameterized DAFT (DD-DAFT) domain for AFDM, which explicitly reveals the inherent DD coupling effect arising from the chirp-channel interaction. Subsequently, we design two matched-filtering sensing algorithms. The first is performed in the time-frequency domain with low complexity, while the second is operated in the DD-DAFT domain to precisely resolve the DD coupling. Simulations show that our algorithms achieve effective pilot-free sensing and demonstrate a fundamental trade-off between sensing performance, communication overhead, and computational complexity. The proposed AFDM outperforms classical AFDM and other variants in most scenarios. |
| title | ISAC with Affine Frequency Division Multiplexing: An FMCW-Based Signal Processing Perspective |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2511.12308 |