Study on the kalman filtering method and the analysis of filtering accuracy in GPS kinematic positioning with speed observation

Jiancheng Fang; Gongxun Shen; Xue'en Li; Dejun Wan; Xiaoyong Dong

Study on the kalman filtering method and the analysis of filtering accuracy in GPS kinematic positioning with speed observation

Jiancheng Fang
, Gongxun Shen
, Xue'en Li^*
, Dejun Wan
, Xiaoyong Dong

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University
Southeast University, Nanjing
Neimeng National Normal Institute

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A Kalman filtering method in GPS kinematic positioning with speed observation is presented and the dynamic tracking performance of the Kalman filter is greatly improved for estimating maneuvering carrier vehicles. By means of a current statistical model and adaptive algorithm for estimating maneuvering targets, the system equations and the observation equations with speed observation are established in GPS kinematic positioning, and the system observability analysis is performed. It is theoretically analyzed that the dynamic tracking accuracy of filter is greatly improved due to speed observation. The efficiency of the Kalman filter with speed observation is verified by the computer simualation results.

Original language	English
Journal	Kongzhi Lilun Yu Yingyong/Control Theory and Applications
Volume	15
Issue number	6
State	Published - 1998

Keywords

Adaptive algorithm
GPS
Kalman filtering
Kinematic positionings
Tracking accuracy

Cite this

@article{62179662bdeb490cb22078cc1a6aaae5,

title = "Study on the kalman filtering method and the analysis of filtering accuracy in GPS kinematic positioning with speed observation",

abstract = "A Kalman filtering method in GPS kinematic positioning with speed observation is presented and the dynamic tracking performance of the Kalman filter is greatly improved for estimating maneuvering carrier vehicles. By means of a current statistical model and adaptive algorithm for estimating maneuvering targets, the system equations and the observation equations with speed observation are established in GPS kinematic positioning, and the system observability analysis is performed. It is theoretically analyzed that the dynamic tracking accuracy of filter is greatly improved due to speed observation. The efficiency of the Kalman filter with speed observation is verified by the computer simualation results.",

keywords = "Adaptive algorithm, GPS, Kalman filtering, Kinematic positionings, Tracking accuracy",

author = "Jiancheng Fang and Gongxun Shen and Xue'en Li and Dejun Wan and Xiaoyong Dong",

year = "1998",

language = "英语",

volume = "15",

journal = "Kongzhi Lilun Yu Yingyong/Control Theory and Applications",

issn = "1000-8152",

publisher = "South China University of Technology",

number = "6",

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TY - JOUR

T1 - Study on the kalman filtering method and the analysis of filtering accuracy in GPS kinematic positioning with speed observation

AU - Fang, Jiancheng

AU - Shen, Gongxun

AU - Li, Xue'en

AU - Wan, Dejun

AU - Dong, Xiaoyong

PY - 1998

Y1 - 1998

N2 - A Kalman filtering method in GPS kinematic positioning with speed observation is presented and the dynamic tracking performance of the Kalman filter is greatly improved for estimating maneuvering carrier vehicles. By means of a current statistical model and adaptive algorithm for estimating maneuvering targets, the system equations and the observation equations with speed observation are established in GPS kinematic positioning, and the system observability analysis is performed. It is theoretically analyzed that the dynamic tracking accuracy of filter is greatly improved due to speed observation. The efficiency of the Kalman filter with speed observation is verified by the computer simualation results.

AB - A Kalman filtering method in GPS kinematic positioning with speed observation is presented and the dynamic tracking performance of the Kalman filter is greatly improved for estimating maneuvering carrier vehicles. By means of a current statistical model and adaptive algorithm for estimating maneuvering targets, the system equations and the observation equations with speed observation are established in GPS kinematic positioning, and the system observability analysis is performed. It is theoretically analyzed that the dynamic tracking accuracy of filter is greatly improved due to speed observation. The efficiency of the Kalman filter with speed observation is verified by the computer simualation results.

KW - Adaptive algorithm

KW - GPS

KW - Kalman filtering

KW - Kinematic positionings

KW - Tracking accuracy

UR - https://www.scopus.com/pages/publications/77449091888

M3 - 文章

AN - SCOPUS:77449091888

SN - 1000-8152

VL - 15

JO - Kongzhi Lilun Yu Yingyong/Control Theory and Applications

JF - Kongzhi Lilun Yu Yingyong/Control Theory and Applications

IS - 6

ER -

Study on the kalman filtering method and the analysis of filtering accuracy in GPS kinematic positioning with speed observation

Abstract

Keywords

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