Massachusetts Institute of Technology
High-Speed Simulator for Millimeter-Wave Synthetic Aperture Radar
Abstract
dc:description.abstractThe past few years have witnessed growing interest in using millimeter-wave signals for non-line-of-sight (NLOS) perception tasks, with applications in robotics, augmented reality, and smart-homes. However, existing systems suffer from a lack of large mmWave datasets, resulting in limited accuracy and generalizability compared to their line-of-sight, camera-based counterparts. We present the design, implementation, and evaluation of mmSim, a new, high-speed millimeter-wave (mmWave) simulator capable of producing large synthetic datasets to help drive the field of mmWave-based NLOS perception. mmSim introduces two main contributions to improve the speed over existing mmWave simulators. First, it pre-selects areas of the object, which will produce reflections towards each simulated antenna location, allowing it to minimize future computation. Second, it introduces a coarse-to-fine approach to allow early, less critical steps to operate at lower resolutions, while maintaining the high resolution in later steps required for high-accuracy images. These techniques, combined with other performance optimizations, allow mmSim to achieve an over 24x improvement in speed over state-of-the-art mmWave simulators.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kuka, Adrian
- Advisor dc:contributor.advisor
-
- Adib, Fadel
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/162724
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/162724