Patent · US Active

Method for estimating hidden channel parameters of a received GNNS navigation signal

US8265202B2 · kind B2 · utility

2Cited by

3References

5Claims

0Family size

Assignee

DEUTSCHES ZENTRUM FÜR LUFT—UND RAUMFAHRT E.V. · DE

Inventors

Michael Lentmaier · Munich, DE
Bernhard Krach · Hilpoltstein, DE
Patrick Robertson · San Jose, US
Thanawat Thiasiriphet · Ulm, DE

Key dates

Filing date	Sep 17, 2008
Grant date	Sep 11, 2012
Priority date	—
Expiry date	May 12, 2031

Classification

Technology area (CPC G)Physics
CPC primaryG01S19/22
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

For the reduction of the multipath error of received GNSS navigation signals, a sequential Bayesian estimation is used, with a movement model underlying this estimation, which model is particularly designed for dynamic channel situations. Sequential Monte Carlo methods are used to calculate the posterior probability density functions of the signal parameters. To facilitate an efficient integration in received signal tracking loops, the invention builds on complexity reduction concepts that have previously been used in maximum likelihood (ML) estimators.Applicable with GNSS satellite navigation receivers, e.g. GPS and Galileo.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.