5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
Artikel i vetenskaplig tidskrift, 2020

5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider an intermediate approach, which consists of four phases-downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach.

diffuse multipath

mmWave single base station SLAM

clustering

Författare

Yu Ge

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Fuxi Wen

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Hyowon Kim

Hanyang University

Meifang Zhu

Lunds universitet

Fan Jiang

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Sunwoo Kim

Hanyang University

Lennart Svensson

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Sensors

1424-8220 (ISSN) 1424-3210 (eISSN)

Vol. 20 16

Ämneskategorier

Telekommunikation

Robotteknik och automation

Signalbehandling

DOI

10.3390/s20164656

PubMed

32824844

Mer information

Senast uppdaterat

2020-10-01