SINS/GPS/CNS integrated navigation method study based on federated filter

Ren Li; Xijun Chen; Xijun Wang; Baiting Zhao; Qingshuang Zeng

doi:10.1109/ISSCAA.2008.4776205

SINS/GPS/CNS integrated navigation method study based on federated filter

Ren Li^*
, Xijun Chen
, Xijun Wang
, Baiting Zhao
, Qingshuang Zeng

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

GPS (Global Positioning System) have high position and velocity precision, star sensor is a high accuracy attitude measurement system, SINS (Strapdown Inertial Navigation System) can get all navigation information precisely at short period. In order to realize high-precision navigation, according to analyze the error model of above systems, both of the state equations and measurement equations were studied. Decentralized Fusion method was used in navigation information processing in which Kalman Filter was used as Local-Estimator, and a new kind of Federated Filter based on partial information fusion was proposed. One of the filter configuration was been selected in the integrated navigation system. The results of the simulation validate that the navigation accuracy can be improved to a higher level in this method.

Original language	English
DOIs	https://doi.org/10.1109/ISSCAA.2008.4776205
State	Published - 2008
Event	2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008 - Shenzhen, China Duration: 10 Dec 2008 → 12 Dec 2008

Conference

Conference	2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008
Country/Territory	China
City	Shenzhen
Period	10/12/08 → 12/12/08

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10.1109/ISSCAA.2008.4776205

Cite this

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title = "SINS/GPS/CNS integrated navigation method study based on federated filter",

abstract = "GPS (Global Positioning System) have high position and velocity precision, star sensor is a high accuracy attitude measurement system, SINS (Strapdown Inertial Navigation System) can get all navigation information precisely at short period. In order to realize high-precision navigation, according to analyze the error model of above systems, both of the state equations and measurement equations were studied. Decentralized Fusion method was used in navigation information processing in which Kalman Filter was used as Local-Estimator, and a new kind of Federated Filter based on partial information fusion was proposed. One of the filter configuration was been selected in the integrated navigation system. The results of the simulation validate that the navigation accuracy can be improved to a higher level in this method.",

author = "Ren Li and Xijun Chen and Xijun Wang and Baiting Zhao and Qingshuang Zeng",

year = "2008",

doi = "10.1109/ISSCAA.2008.4776205",

language = "英语",

note = "2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008 ; Conference date: 10-12-2008 Through 12-12-2008",

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TY - CONF

T1 - SINS/GPS/CNS integrated navigation method study based on federated filter

AU - Li, Ren

AU - Chen, Xijun

AU - Wang, Xijun

AU - Zhao, Baiting

AU - Zeng, Qingshuang

PY - 2008

Y1 - 2008

N2 - GPS (Global Positioning System) have high position and velocity precision, star sensor is a high accuracy attitude measurement system, SINS (Strapdown Inertial Navigation System) can get all navigation information precisely at short period. In order to realize high-precision navigation, according to analyze the error model of above systems, both of the state equations and measurement equations were studied. Decentralized Fusion method was used in navigation information processing in which Kalman Filter was used as Local-Estimator, and a new kind of Federated Filter based on partial information fusion was proposed. One of the filter configuration was been selected in the integrated navigation system. The results of the simulation validate that the navigation accuracy can be improved to a higher level in this method.

AB - GPS (Global Positioning System) have high position and velocity precision, star sensor is a high accuracy attitude measurement system, SINS (Strapdown Inertial Navigation System) can get all navigation information precisely at short period. In order to realize high-precision navigation, according to analyze the error model of above systems, both of the state equations and measurement equations were studied. Decentralized Fusion method was used in navigation information processing in which Kalman Filter was used as Local-Estimator, and a new kind of Federated Filter based on partial information fusion was proposed. One of the filter configuration was been selected in the integrated navigation system. The results of the simulation validate that the navigation accuracy can be improved to a higher level in this method.

UR - https://www.scopus.com/pages/publications/66449090925

U2 - 10.1109/ISSCAA.2008.4776205

DO - 10.1109/ISSCAA.2008.4776205

M3 - 论文

AN - SCOPUS:66449090925

T2 - 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008

Y2 - 10 December 2008 through 12 December 2008

ER -

SINS/GPS/CNS integrated navigation method study based on federated filter

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