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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cao Jie Chen Shaoshan Li Yu Ren Chongyu |
| Copyright Year | 2006 |
| Description | Author affiliation: Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Tech. (Cao Jie; Chen Shaoshan; Li Yu; Ren Chongyu) |
| Abstract | In recent years there has been a major upsurge of interest in the integrated global positioning system (GPS)/inertial navigation system (INS) as a cost-effective way of providing accurate and reliable navigation aid for civil and military vehicles. This thesis discusses the technology problem and calculation methods of GPS/INS integrated navigation system. The GPS/INS integrated navigation system based on information fusion technology and a multi-sensor information fusion algorithm based on federal Kalman filter is analyzed in detail. The federal KF algorithm suitable for this application is also developed; and preliminary computer simulation results are given and the simulation results show that Kalman filter can deal with information fusion for the GPS/INS integrated system |
| Starting Page | 1248 |
| Ending Page | 1251 |
| File Size | 4306124 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395867 |
| DOI | 10.1109/ITST.2006.288853 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Filters Computer simulation Inertial navigation Signal processing Satellite navigation systems Aircraft navigation Sensor systems Intelligent transportation systems Global Positioning System |
| Content Type | Text |
| Resource Type | Article |
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