5G SLAM using the clustering and assignment approach with diffuse multipath

Yu Ge, Fuxi Wen, Hyowon Kim, Meifang Zhu, Fan Jiang, Sunwoo Kim, Lennart Svensson, Henk Wymeersch

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish
Article number4656
Pages (from-to)1-31
Number of pages31
JournalSensors (Switzerland)
Issue number16
StatePublished - 2020 Aug 2


  • Clustering
  • Diffuse multipath
  • mm Wave single base station SLAM

Fingerprint Dive into the research topics of '5G SLAM using the clustering and assignment approach with diffuse multipath'. Together they form a unique fingerprint.

Cite this