On the Fractional Fourier Transform for FMCW Radar Interference Mitigation
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866913076786233344 |
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| author | Oswald, Christian Kulmer, Josef Pernkopf, Franz |
| author_facet | Oswald, Christian Kulmer, Josef Pernkopf, Franz |
| contents | In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chain including our DFrFT-based IM for real-valued receivers, which we compare to reference algorithms on a synthetic data set. We then reduce computational complexity by reformulating DFrFT-based IM in terms of sparse update signals, which enables mitigation of multiple interferences simultaneously. Finally, we conduct a case study on measurement data and show that our method is compatible with real-world environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_27768 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | On the Fractional Fourier Transform for FMCW Radar Interference Mitigation Oswald, Christian Kulmer, Josef Pernkopf, Franz Signal Processing In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chain including our DFrFT-based IM for real-valued receivers, which we compare to reference algorithms on a synthetic data set. We then reduce computational complexity by reformulating DFrFT-based IM in terms of sparse update signals, which enables mitigation of multiple interferences simultaneously. Finally, we conduct a case study on measurement data and show that our method is compatible with real-world environments. |
| title | On the Fractional Fourier Transform for FMCW Radar Interference Mitigation |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2604.27768 |