Improving the Accuracy of Vehicle Position in an Urban Environment Using the Outlier Mitigation Algorithm Based on GNSS Multi-Position Clustering

Improving the Accuracy of Vehicle Position in an Urban Environment Using the Outlier Mitigation Algorithm Based on GNSS Multi-Position Clustering

In this paper, we propose a multi-position cluster-based weighted position estimation method that minimizes the influence of multipath (MP)/non-line-of-sight (NLOS) signals using a global navigation satellite system (GNSS) receiver. The proposed method is suitable for positioning passenger cars, par...

Full description

Bibliographic Details
Main Authors: Hak Ju Kim, Yong Hun Kim, Joo Han Lee, So Jin Park, Bo Sung Ko, Jin Woo Song
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
Doppler velocity
DBSCAN
LOS/NLOS clustering
outlier mitigation algorithm
vehicle position estimation
Online Access:https://www.mdpi.com/2072-4292/15/15/3791

Similar Items

Similar Items