Non-Linear filtering techniques for high precision GPS applications

被引：0

作者：

Nisar, Shafaq ^{[1
]}

Ullah, Ihsan ^{[1
]}

机构：

[1] Comsats Inst Informat & Technol, Abbottabad, Pakistan

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING AND DIGITAL SYSTEMS (C-CODE) | 2017年

关键词：

Estimation; GPS; EKF; UKF; CKF; KALMAN FILTER;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Nonlinear family of Kalman filters is employed to a nonlinear dynamic system for the purpose of state estimation. Extended, unscented and cubature Kalman filters are formulated and deployed to the nonlinear estimation of Global Positioning System(GPS) model. The state dynamics and measurement model of GPS is illustrated. Performance of extended, unscented and cubature Kalman filter is presented through simulation results.The results prove that the proposed use of CKF for GPS navigation outperforms other nonlinear filters. Computation complexity of each filter is also computed for comparison.

引用

页码：276 / 280

页数：5

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