Sardinero-Meirá I, Mergenthaler P, Schwab T, Vossiek M, Grajal J, Ullmann I (2026)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2026
Event location: Phoenix, USA
URI: https://ieeexplore.ieee.org/document/11675510
DOI: 10.1109/RadarConf2663773.2026.11675510
The integration of inverse synthetic aperture radar (ISAR) processing with multiple-input multiple-output (MIMO) radar architectures in the near field has enabled high-resolution imaging of large objects, typically relying on auxiliary sensors to estimate the target’s trajectory. This paper presents a methodology for near-field MIMO-ISAR imaging that estimates and compensates for target motion without external sensors. Unlike previous methods that rely on external tracking or assume known motion, this approach derives the target’s trajectory directly from radar images obtained in individual MIMO acquisitions. Once the motion is estimated, these images are spatially aligned and coherently combined to synthesize a high-resolution, multi-aspect ISAR image that improves resolution and reveals features from multiple viewpoints. The method is entirely radar-based, sensor-independent, and applicable to near-field scenarios such as human-computer interaction, non-destructive testing, and security screening. Its efficacy is demonstrated through simulations and real measurements using a 70–82 GHz MIMO radar with 94 transmit and 94 receive antennas.
APA:
Sardinero-Meirá, I., Mergenthaler, P., Schwab, T., Vossiek, M., Grajal, J., & Ullmann, I. (2026). MIMO-ISAR Near Field Imaging With Inherent 3-D Translational Motion Compensation. In Proceedings of the 2026 IEEE Radar Conference (RadarConf'26). Phoenix, USA.
MLA:
Sardinero-Meirá, Ignacio, et al. "MIMO-ISAR Near Field Imaging With Inherent 3-D Translational Motion Compensation." Proceedings of the 2026 IEEE Radar Conference (RadarConf'26), Phoenix, USA 2026.
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