Title :
RLS-based predictor for latency compensation in DGPS
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que.
fDate :
1/1/2000 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
