Nonlinear Filter for Ionosphere Divergence Error Reduction in LAAS

Author

Sen, S. ; Rife, J.

Author_Institution

Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA

Volume

48

Issue

2

fYear

2012

fDate

4/1/2012 12:00:00 AM

Firstpage

981

Lastpage

990

Abstract

The Hatch filter, the industry-standard method for smoothing GPS code measurements with carrier data in the local area augmented system (LAAS), is susceptible to divergence errors during severe ionospheric storms. The work presented here develops an alternate single-frequency filter called a nonlinear divergence elimination (NLDE) filter that mitigates divergence errors without increasing measurement noise. Application of the filter to GPS data indicates that the nonlinear filter not only zeroes steady-state divergence but also reduces maximum transient errors by 0-24% relative to the Hatch filter.

Keywords

Global Positioning System; ionospheric disturbances; nonlinear filters; smoothing methods; divergence errors; hatch filter; ionosphere divergence error reduction; ionospheric storms; local area augmented system; measurement noise; nonlinear divergence elimination filter; nonlinear filter; smoothing GPS code; steady-state divergence; Delay; Filtering algorithms; Ionosphere; Maximum likelihood detection; Noise; Nonlinear filters; Storms;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2012.6178043

Filename

6178043