Environment mapping with millimeter-wave massive arrays: System design and performance
| Auteurs | Guidi F., Guerra A., Dardari D., Clemente A., D'Errico R. |
| Year | 2017-0091 |
| Source-Title | 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings |
| Affiliations | TCEA, LETI, MINATEC Campus, Grenoble, France, Univ. Grenoble-Alpes, Grenoble, France, DEI, University of Bologna, via Venezia 52, Cesena (FC), Italy |
| Abstract | Recently, several studies have been moving towards the idea to adopt massive arrays for localization and mapping applications thanks to the high scanning resolution achievable. In this framework, this paper investigates the impact of different design parameters in order to maximize the mapping performance while keeping the receiver architecture as simple as possible when a Bayesian approach is used. To this end, thresholding strategies to filter out unwanted received signal components (cleaning operation before soft mapping), e.g. thermal noise, are analyzed together with other design parameters that can operate directly on raw data. Considerations about possible system design configurations are then drawn inspired by results obtained using measured data, which showed a more pronounced impact of the cleaning approach for 1 GHz bandwidth with respect to 3GHz. © 2016 IEEE. |
| Author-Keywords | Indoor mapping, Massive antenna arrays, Millimeter-waves, Personal radar |
| Index-Keywords | Antenna arrays, Bayesian networks, Millimeter waves, Systems analysis, Thermal noise, Bayesian approaches, Cleaning operations, Design configurations, Environment mapping, Localization and mappings, Receiver architecture, Scanning resolution, System design and performance, Mapping |
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| Lien vers article | Link |