Adaptive system model of the vehicle kinematic positioning based on GPS

Xin Long Wang; Gong Xun Shen; Yang Bin Ding

Adaptive system model of the vehicle kinematic positioning based on GPS

Xin Long Wang^*
, Gong Xun Shen
, Yang Bin Ding

^*Corresponding author for this work

School of Astronautics

Beihang University

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

9 Scopus citations

Abstract

An adaptive system model in the vehicle kinematic positioning utilizing GPS is presented. The dynamic tracking and positioning performance of the GPS is greatly improved for estimating maneuvering vehicles a novel system of the vehicle model and adaptive filtering model are established in the vehicle kinematic positioning with GPS. By using the strong tracking and kinematic positioning model and the adaptive filtering arithmetic, the precision and practicability of the vehicle positioning system are improved greatly. The validity of the proposed means is verified by the computer simulation results.

Original language	English
Pages (from-to)	103-105+112
Journal	Kongzhi yu Juece/Control and Decision
Volume	20
Issue number	1
State	Published - Jan 2005

Keywords

GPS
Kalman filtering
Kinematic positioning
Vehicle navigation

Cite this

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title = "Adaptive system model of the vehicle kinematic positioning based on GPS",

abstract = "An adaptive system model in the vehicle kinematic positioning utilizing GPS is presented. The dynamic tracking and positioning performance of the GPS is greatly improved for estimating maneuvering vehicles a novel system of the vehicle model and adaptive filtering model are established in the vehicle kinematic positioning with GPS. By using the strong tracking and kinematic positioning model and the adaptive filtering arithmetic, the precision and practicability of the vehicle positioning system are improved greatly. The validity of the proposed means is verified by the computer simulation results.",

keywords = "GPS, Kalman filtering, Kinematic positioning, Vehicle navigation",

author = "Wang, \{Xin Long\} and Shen, \{Gong Xun\} and Ding, \{Yang Bin\}",

year = "2005",

month = jan,

language = "英语",

volume = "20",

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journal = "Kongzhi yu Juece/Control and Decision",

issn = "1001-0920",

publisher = "Northeast University",

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AU - Wang, Xin Long

AU - Shen, Gong Xun

AU - Ding, Yang Bin

PY - 2005/1

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N2 - An adaptive system model in the vehicle kinematic positioning utilizing GPS is presented. The dynamic tracking and positioning performance of the GPS is greatly improved for estimating maneuvering vehicles a novel system of the vehicle model and adaptive filtering model are established in the vehicle kinematic positioning with GPS. By using the strong tracking and kinematic positioning model and the adaptive filtering arithmetic, the precision and practicability of the vehicle positioning system are improved greatly. The validity of the proposed means is verified by the computer simulation results.

AB - An adaptive system model in the vehicle kinematic positioning utilizing GPS is presented. The dynamic tracking and positioning performance of the GPS is greatly improved for estimating maneuvering vehicles a novel system of the vehicle model and adaptive filtering model are established in the vehicle kinematic positioning with GPS. By using the strong tracking and kinematic positioning model and the adaptive filtering arithmetic, the precision and practicability of the vehicle positioning system are improved greatly. The validity of the proposed means is verified by the computer simulation results.

KW - GPS

KW - Kalman filtering

KW - Kinematic positioning

KW - Vehicle navigation

UR - https://www.scopus.com/pages/publications/14744283589

M3 - 文章

AN - SCOPUS:14744283589

SN - 1001-0920

VL - 20

SP - 103-105+112

JO - Kongzhi yu Juece/Control and Decision

JF - Kongzhi yu Juece/Control and Decision

IS - 1

ER -

Adaptive system model of the vehicle kinematic positioning based on GPS

Abstract

Keywords

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