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

• DOI: 10.3390/s20164656
• Publication Date: 2020-08-19T13:22:31Z
• Authors: Yu Ge; Fuxi Wen; Hyowon Kim; Meifang Zhu; Fan Jiang; Sunwoo Kim; Lennart Svensson; Henk Wymeersch
• Keywords: SIGNAL (programming language); Position (finance)

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