A simulation of SINS/GPS integrated system using H∞ filtering

Hui Li; Xiuyun Meng; Zaozhen Liu

A simulation of SINS/GPS integrated system using H_∞ filtering

Hui Li^*, Xiuyun Meng, Zaozhen Liu

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 会议稿件 › 论文 › 同行评审

摘要

Kalman filtering provides an optimal estimate in terms of minimum mean square error for a SINS/GPS integrated system, H_∞ filtering provides an estimate to solve uncertain problem while there exists uncertainty in system. In this paper, a modified H_∞ filter is discussed when the intensity of noise is approximately grasped and a loosely coupled system of SINS/GPS integration is introduced in detail. A loosely coupled system using the modified H_∞filter is simulated. Simulation shows the modified H_∞ filtering can almost achieve the same accuracy as that of Kalman filtering when noise characteristics is well known, and overcome the conservatism of H_∞ filtering.

源语言	英语
页	1294-1298
页数	5
出版状态	已出版 - 2005
活动	Asian Simulation Conference 2005, ASC 2005 and the 6th International Conference on System Simulation and Scientific Computing, ICSC 2005 - Beijing, 中国期限: 24 10月 2005 → 27 10月 2005

会议

会议	Asian Simulation Conference 2005, ASC 2005 and the 6th International Conference on System Simulation and Scientific Computing, ICSC 2005
国家/地区	中国
市	Beijing
时期	24/10/05 → 27/10/05

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{79135bd710614955999f652add482957,

title = "A simulation of SINS/GPS integrated system using H∞ filtering",

abstract = "Kalman filtering provides an optimal estimate in terms of minimum mean square error for a SINS/GPS integrated system, H∞ filtering provides an estimate to solve uncertain problem while there exists uncertainty in system. In this paper, a modified H∞ filter is discussed when the intensity of noise is approximately grasped and a loosely coupled system of SINS/GPS integration is introduced in detail. A loosely coupled system using the modified H∞filter is simulated. Simulation shows the modified H∞ filtering can almost achieve the same accuracy as that of Kalman filtering when noise characteristics is well known, and overcome the conservatism of H∞ filtering.",

keywords = "GPS, Kalman Filter, SINS",

author = "Hui Li and Xiuyun Meng and Zaozhen Liu",

year = "2005",

language = "English",

pages = "1294--1298",

note = "Asian Simulation Conference 2005, ASC 2005 and the 6th International Conference on System Simulation and Scientific Computing, ICSC 2005 ; Conference date: 24-10-2005 Through 27-10-2005",

}

TY - CONF

T1 - A simulation of SINS/GPS integrated system using H∞ filtering

AU - Li, Hui

AU - Meng, Xiuyun

AU - Liu, Zaozhen

PY - 2005

Y1 - 2005

N2 - Kalman filtering provides an optimal estimate in terms of minimum mean square error for a SINS/GPS integrated system, H∞ filtering provides an estimate to solve uncertain problem while there exists uncertainty in system. In this paper, a modified H∞ filter is discussed when the intensity of noise is approximately grasped and a loosely coupled system of SINS/GPS integration is introduced in detail. A loosely coupled system using the modified H∞filter is simulated. Simulation shows the modified H∞ filtering can almost achieve the same accuracy as that of Kalman filtering when noise characteristics is well known, and overcome the conservatism of H∞ filtering.

AB - Kalman filtering provides an optimal estimate in terms of minimum mean square error for a SINS/GPS integrated system, H∞ filtering provides an estimate to solve uncertain problem while there exists uncertainty in system. In this paper, a modified H∞ filter is discussed when the intensity of noise is approximately grasped and a loosely coupled system of SINS/GPS integration is introduced in detail. A loosely coupled system using the modified H∞filter is simulated. Simulation shows the modified H∞ filtering can almost achieve the same accuracy as that of Kalman filtering when noise characteristics is well known, and overcome the conservatism of H∞ filtering.

KW - GPS

KW - Kalman Filter

KW - SINS

UR - http://www.scopus.com/inward/record.url?scp=84902440818&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84902440818

SP - 1294

EP - 1298

T2 - Asian Simulation Conference 2005, ASC 2005 and the 6th International Conference on System Simulation and Scientific Computing, ICSC 2005

Y2 - 24 October 2005 through 27 October 2005

ER -

A simulation of SINS/GPS integrated system using H∞ filtering

摘要

会议

其它文件与链接

指纹

引用此

A simulation of SINS/GPS integrated system using H_∞ filtering