Reduced-order adaptive Kalman filtering for dual-frequency navigation with carrier phase

Author

Lu, Chenxi ; Tan, Yunhua ; Zhou, Lezhu

Author_Institution

Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China

fYear

2011

fDate

12-14 Oct. 2011

Firstpage

89

Lastpage

92

Abstract

A new adaptive Kalman filtering algorithm for dual-frequency navigation with carrier phase is presented. By reducing the filtering order after full-order initialization, this algorithm saves the extra computational cost brought by carrier phase observations. The improved adaptation of state covariance matrix in reduced-order processing also improves filtering precision and robustness. Finally applications on both static data and kinetic simulations demonstrate the validity and efficiency of the algorithm.

Keywords

Kalman filters; adaptive filters; covariance matrices; navigation; carrier phase; computational cost; dual-frequency navigation; filtering precision; filtering robustness; full-order initialization; reduced-order adaptive Kalman filtering; reduced-order processing; state covariance matrix; Adaptation models; Covariance matrix; Kalman filters; Mathematical model; Navigation; Satellites; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technologies (ISCIT), 2011 11th International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4577-1294-4

Type

conf

DOI

10.1109/ISCIT.2011.6092190

Filename

6092190