5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
Journal article, 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

Author

Yu Ge

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Fuxi Wen

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Hyowon Kim

Hanyang University

Meifang Zhu

Lund University

Fan Jiang

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Sunwoo Kim

Hanyang University

Lennart Svensson

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Sensors

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

Vol. 20 16

Subject Categories

Telecommunications

Robotics

Signal Processing

DOI

10.3390/s20164656

PubMed

32824844

More information

Latest update

10/1/2020