Exploiting Diffuse Multipath in 5G SLAM

被引：7
|
作者：
Ge, Yu [1 ]
Kim, Hyowon [2 ]
Wen, Fuxi [1 ]
Svensson, Lennart [1 ]
Kim, Sunwoo [2 ]
Wymeersch, Henk [1 ]
机构：
[1] Chalmers Univ Technol, Dept Elect Engn, Gothenburg, Sweden
[2] Hanyang Univ, Dept Elect Engn, Seoul, South Korea
来源：
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2020年
基金：
瑞典研究理事会;
关键词：
EXPLOITATION; DERIVATION; FILTER;
D O I：
10.1109/GLOBECOM42002.2020.9322120
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
5G millimeter wave (mmWave) signals can be used to jointly localize the receiver and map the propagation environment in vehicular networks, which is a typical simultaneous localization and mapping (SLAM) problem. Mapping the environment is challenging, due to measurements comprising both specular and diffuse multipath components, where diffuse multipath is usually considered as a perturbation. We here propose a novel method to utilize all available multipath signals from each landmark for mapping and incorporate this into a Poisson multi-Bernoulli mixture for the 5G SLAM problem. Simulation results demonstrate the efficacy of the proposed scheme.
引用
收藏
页数：6
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