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Improving 3D Cellular Positioning Integrity With Bayesian RAIM

delete2025-09-16
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OA
AI
L
Liqin Ding
G
Gonzalo Seco‐Granados
H
Hyowon Kim
R
Russ Whiton
E
Erik G. Ström
J
Jonas Sjöberg
H
Henk Wymeersch
DOI：10.1109/TVT.2025.3610075delete
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摘要

摘要

En 中文
确保在存在故障测量时的定位完整性对安全关键应用至关重要，这使得接收机自主完整性监测（RAIM）不可或缺。本文介绍了一种具有简化架构的贝叶斯RAIM算法，用于3D蜂窝定位。与传统的频率型RAIM算法不同，它利用因子图上的高效消息传递，将位置向量的后验概率密度函数（PDF）计算为高斯混合（GM）模型。这种贝叶斯方法保留了测量中的所有关键信息，消除了丢弃故障测量的需要，并在3D空间和1D/2D子空间中实现了更严格的保护等级（PLs），满足目标完整性风险（TIR）要求。数值模拟表明，贝叶斯RAIM算法显著优于基线算法，在相当的计算成本下实现了超过50%的PL降低。
Keyword:
Bayesian inference
cellular positioning
factor graph
positioning integrity
receiver autonomous integrity monitoring (RAIM)

期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

机构

U
universitat autonoma de barcelona
学者数:
855
论文数: 416
被引数: 0
C
chalmers university of technology
学者数:
1.5W
论文数: 1.6W
被引数: 10
C
chungnam national university
学者数:
856
论文数: 330
被引数: 0
V
volvo car corporation
学者数:
14
论文数: 9
被引数: 0
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