RLS-based predictor for latency compensation in DGPS

Author

Deergha Rao, K.

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que.

Volume

36

Issue

1

fYear

2000

fDate

1/1/2000 12:00:00 AM

Firstpage

339

Lastpage

343

Abstract

Differential Global Positioning System (DGPS) is a technique that is frequently used to correct for selective availability (SA) induced ranging errors. However, long sampling periods and the time delay (latency) between the generation of corrections and their application by the user are a fundamental performance limitation on DGPS. A recursive least squares (RLS) based predictor is suggested to provide future values of SA for latency compensation in DGPS. The efficacy of the predictor is illustrated for different amounts of learning data and sampling rates through collected SA from operational GPS satellite

Keywords

Global Positioning System; autoregressive processes; delay estimation; error compensation; least squares approximations; prediction theory; recursive estimation; DGPS; RLS-based predictor; autoregressive model; latency compensation; learning data; operational GPS satellite; prediction accuracy; ranging errors; selective availability induced errors; Delay effects; Error correction; Filters; Global Positioning System; Lattices; Least squares approximation; Least squares methods; Predictive models; Resonance light scattering; Sampling methods;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.826341

Filename

826341