Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation

Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation

The global navigation satellite system (GNSS) has been applied to many areas, e.g., the autonomous ground vehicle, unmanned aerial vehicle (UAV), precision agriculture, smart city, and the GNSS-reflectometry (GNSS-R), being of considerable significance over the past few decades. Unfortunately, the G...

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Bibliographic Details
Main Authors: Yiran Luo, Jian Li, Chunyang Yu, Bing Xu, You Li, Li-Ta Hsu, Naser El-Sheimy
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
global navigation satellite system (GNSS)
software-defined receiver (SDR)
vector tracking (VT)
Kalman filter (KF)
Allan variance
time-correlated error
Gauss-Markov (GM) process
innovation sequence
RTKLIB
Online Access:https://www.mdpi.com/2072-4292/11/9/1026

Internet

https://www.mdpi.com/2072-4292/11/9/1026

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