OFDM-Based ISAC Imaging of Extended Targets via Inverse Virtual Aperture Processing
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866912843408867328 |
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| author | Negosanti, Michael Pucci, Lorenzo Giorgetti, Andrea |
| author_facet | Negosanti, Michael Pucci, Lorenzo Giorgetti, Andrea |
| contents | This work investigates the performance of an integrated sensing and communication (ISAC) system exploiting inverse virtual aperture (IVA) for imaging moving extended targets in vehicular scenarios. A base station (BS) operates as a monostatic sensor using MIMO-OFDM waveforms. Echoes reflected by the target are processed through motion-compensation techniques to form an IVA range-Doppler (cross-range) image. A case study considers a 5G NR waveform in the upper mid-band, with the target model defined in 3GPP Release 19, representing a vehicle as a set of spatially distributed scatterers. Performance is evaluated in terms of image contrast (IC) and the root mean squared error (RMSE) of the estimated target-centroid range. Finally, the trade-off between sensing accuracy and communication efficiency is examined by varying the subcarrier allocation for IVA imaging. The results provide insights for designing effective sensing strategies in next-generation radio networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_16664 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | OFDM-Based ISAC Imaging of Extended Targets via Inverse Virtual Aperture Processing Negosanti, Michael Pucci, Lorenzo Giorgetti, Andrea Signal Processing Image and Video Processing This work investigates the performance of an integrated sensing and communication (ISAC) system exploiting inverse virtual aperture (IVA) for imaging moving extended targets in vehicular scenarios. A base station (BS) operates as a monostatic sensor using MIMO-OFDM waveforms. Echoes reflected by the target are processed through motion-compensation techniques to form an IVA range-Doppler (cross-range) image. A case study considers a 5G NR waveform in the upper mid-band, with the target model defined in 3GPP Release 19, representing a vehicle as a set of spatially distributed scatterers. Performance is evaluated in terms of image contrast (IC) and the root mean squared error (RMSE) of the estimated target-centroid range. Finally, the trade-off between sensing accuracy and communication efficiency is examined by varying the subcarrier allocation for IVA imaging. The results provide insights for designing effective sensing strategies in next-generation radio networks. |
| title | OFDM-Based ISAC Imaging of Extended Targets via Inverse Virtual Aperture Processing |
| topic | Signal Processing Image and Video Processing |
| url | https://arxiv.org/abs/2601.16664 |