5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-based positioning suffers from multipath signals generated by different types of objects in the physical environment. Multipath can be turned into a benefit, by building up a radio map (comprising the number of objects, object type, and object state) and using this map to exploit all available signal paths for positioning. We propose a new method for cooperative vehicle positioning and mapping of the radio environment, comprising a multiple-model probability hypothesis density filter and a map fusion routine, which is able to consider different types of objects and different fields of views. Simulation results demonstrate the performance of the proposed method.

5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion / Kim H.; Granstrom K.; Gao L.; Battistelli G.; Kim S.; Wymeersch H.. - In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. - ISSN 1536-1276. - ELETTRONICO. - 19:(2020), pp. 3782-3795. [10.1109/TWC.2020.2978479]

5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion

Gao L.;Battistelli G.;
2020

Abstract

5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-based positioning suffers from multipath signals generated by different types of objects in the physical environment. Multipath can be turned into a benefit, by building up a radio map (comprising the number of objects, object type, and object state) and using this map to exploit all available signal paths for positioning. We propose a new method for cooperative vehicle positioning and mapping of the radio environment, comprising a multiple-model probability hypothesis density filter and a map fusion routine, which is able to consider different types of objects and different fields of views. Simulation results demonstrate the performance of the proposed method.
2020
19
3782
3795
Kim H.; Granstrom K.; Gao L.; Battistelli G.; Kim S.; Wymeersch H.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1218657
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