Name
Abstract | ||
|---|---|---|
Beamsteering massive arrays have been recently proposed for indoor environment mapping in next 5G scenarios, thanks to their capability to better penetrate materials with respect to current laser or vision-based systems. From the perspective of integrating radars in small portable devices, architectures based on non-coherent processing of raw measurements represent a viable solution to overcome the limitations of current indoor radio mapping techniques, which entail a too high processing or receiver complexity. In this correspondence, we investigate the capability of low-complexity mobile radars, equipped with mm-wave massive arrays, to adapt to the environment in order to reconstruct it, by adjusting a threshold with respect to the collected data and the radiation pattern. Results, corroborated by means of a measurement campaign, show the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVT.2018.2853657 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
Keywords | Field | DocType |
Massive Arrays, Beamsteering, Indoor Mapping, Adaptive Threshold | Radar,Radiation pattern,Computer science,Electronic engineering,Reflection mapping | Journal |
Volume | Issue | ISSN |
67 | 10 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Guidi | 1 | 91 | 17.15 |
| Andrea Mariani | 2 | 165 | 9.14 |
| Anna Guerra | 3 | 64 | 9.55 |
| Davide Dardari | 4 | 1557 | 116.18 |
| Antonio Clemente | 5 | 5 | 1.82 |
| Raffaele D'Errico | 6 | 191 | 22.93 |