Distortion Is Not Noise: On the Limits of the Kappa Model for Monostatic ISAC
Abstract
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 analys...
Description / Details
Monostatic ISAC sensing differs from communication because the transmitter can monitor its distorted transmit waveform. Thus, the aggregate 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 -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 ~dB NMSE).
Source: arXiv:2603.10958v1 - http://arxiv.org/abs/2603.10958v1 PDF: https://arxiv.org/pdf/2603.10958v1 Original Link: http://arxiv.org/abs/2603.10958v1
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Mar 12, 2026
Chemical Engineering
Engineering
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