论文标题
在5G大满贯中利用分散多径
Exploiting Diffuse Multipath in 5G SLAM
论文作者
论文摘要
5G毫米波（MMWAVE）信号可用于共同定位接收器并映射车辆网络中的传播环境，这是典型的同时定位和映射（SLAM）问题。映射环境是具有挑战性的，这是由于包括镜头和弥漫性多径成分的测量值，并且弥漫性多径通常被视为扰动。在这里，我们提出了一种新型方法，利用每个地标的所有可用多径信号来映射，并将其纳入泊松多伯努利混合物中，以解决5G SLAM问题。仿真结果证明了所提出的方案的功效。
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, and 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.
