论文标题
NLOS环境中具有多弹药路径的NLOS环境中的迭代5G定位和同步算法
An Iterative 5G Positioning and Synchronization Algorithm in NLOS Environments with Multi-Bounce Paths
论文作者
论文摘要
5G定位是一个非常有前途的领域，带来了许多机会和挑战。许多现有技术依赖于多个锚节点和视线（LOS）路径，或单个参考节点和单跳非LOS（NLOS）路径。但是，在密集的多路径环境中，识别LOS或单打假设是具有挑战性的。多弹路路径将使定位精度显着恶化。我们在NLOS多径环境中提出了一种健壮的5G定位算法。相应的定位问题被提出为迭代和加权最小二乘问题，并且使用不同的权重来减轻多弹跳路径的影响。进行数值模拟以评估所提出的算法的性能。与仅使用单驱动路径的基准定位算法相比，针对所提出的算法实现了相似的定位精度。
5G positioning is a very promising area that presents many opportunities and challenges. Many existing techniques rely on multiple anchor nodes and line-of-sight (LOS) paths, or single reference node and single-bounce non-LOS (NLOS) paths. However, in dense multipath environments, identifying the LOS or single-bounce assumptions is challenging. The multi-bounce paths will make the positioning accuracy deteriorate significantly. We propose a robust 5G positioning algorithm in NLOS multipath environments. The corresponding positioning problem is formulated as an iterative and weighted least squares problem, and different weights are utilized to mitigate the effects of multi-bounce paths. Numerical simulations are carried out to evaluate the performance of the proposed algorithm. Compared with the benchmark positioning algorithms only using the single-bounce paths, similar positioning accuracy is achieved for the proposed algorithm.
