Distortion Is Not Noise: On the Limits of the Kappa Model for Monostatic ISAC
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866914386475483136 |
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| author | Dong, Haofan Akan, Ozgur B. |
| author_facet | Dong, Haofan Akan, Ozgur B. |
| contents | Monostatic ISAC sensing differs from communication because the transmitter can monitor its distorted transmit waveform. Thus, the aggregate $κ$ distortion model, which treats impairments as unknown noise, is appropriate for communication but pessimistic for monostatic sensing. We derive PA-aware sensing Cramér--Rao bounds (CRBs) and a PN-aware CRB that reveals an irreducible velocity-error floor, and quantify when $κ$-based bounds overestimate sensing degradation. Simulations validate the analysis and show robustness to practical DPD template errors (less than 1~dB overhead at a typical $-25$~dB NMSE). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_10958 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Distortion Is Not Noise: On the Limits of the Kappa Model for Monostatic ISAC Dong, Haofan Akan, Ozgur B. Signal Processing Monostatic ISAC sensing differs from communication because the transmitter can monitor its distorted transmit waveform. Thus, the aggregate $κ$ distortion model, which treats impairments as unknown noise, is appropriate for communication but pessimistic for monostatic sensing. We derive PA-aware sensing Cramér--Rao bounds (CRBs) and a PN-aware CRB that reveals an irreducible velocity-error floor, and quantify when $κ$-based bounds overestimate sensing degradation. Simulations validate the analysis and show robustness to practical DPD template errors (less than 1~dB overhead at a typical $-25$~dB NMSE). |
| title | Distortion Is Not Noise: On the Limits of the Kappa Model for Monostatic ISAC |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2603.10958 |