A millimeter-wave indoor backscattering channel model for environment mapping
| Auteurs | Guerra A., Guidi F., Dardari D., Clemente A., D'Errico R. |
| Year | 2017-0428 |
| Source-Title | IEEE Transactions on Antennas and Propagation |
| Affiliations | Dipto. di Ingegneria dell'Ener. Elettrica e dell'Informazione 'Guglielmo Marconi' and with Consorzio Naz. Interuniversitario per le Telecomunicazioni-DEI/CNIT, University of Bologna, Cesena, Italy, CEA-Leti, MINATEC Campus, Grenoble, France, University of Grenoble-Alpes, Grenoble, France |
| Abstract | In this communication, we introduce a channel model for personal radar applications where a millimeter-wave (mm-wave) massive array is required to scan the environment and to reconstruct a map of it. The analysis is based on measurement campaigns, in a corridor and in an office room, performed using mm-wave massive arrays. In such a context, we aim at characterizing the channel from both a temporal and an angular perspective by exploiting a 2D CLEAN-like technique to extrapolate the multipath components and a K-means algorithm for clustering, where centroids statistics depend on the environment contour. The obtained channel model can be exploited for mapping algorithms based on backscattered radar measurements. © 1963-2012 IEEE. |
| Author-Keywords | Backscattering, Channel model, Millimeter-wave |
| Index-Keywords | Antenna arrays, Antennas, Backscattering, Clustering algorithms, Conformal mapping, Mapping, Millimeter waves, Radar, Radar antennas, Back-scattered radar, Channel model, Delays, Environment mapping, Frequency measurements, Measurement campaign, Millimeter-wave (mm-wave), Multi-path components, Radar measurement |
| ISSN | 0018926X |
| Lien vers article | Link |