Patents by Inventor Frieder Beck

Frieder Beck has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11409002
    Abstract: A test metric for satellite sent GNSS code signals is proposed, wherein a signal sent by each satellite i is received at different GNSS receivers, and bias-removed, averaged over the receivers and normalized measurement values are derived out of autocorrelation function values. A correlation matrix Ri,n is built from a matrix Xi,n containing the measurement values in the form of measurement value vectors {right arrow over (X)}i,k from the present time epoch tn and from previous time epochs tk with k=1, . . . , n?1, wherein a principal component analysis is done of matrix Ri,n, wherein a transformed vector {right arrow over (T)}i,n=PCi,nT·{right arrow over (X)}i,nT is calculated, with PCi,n containing at least two eigenvectors having the largest eigenvalues of all eigenpairs.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: August 9, 2022
    Assignee: THALES MANAGEMENT & SERVICES DEUTSCHLAND GMBH
    Inventors: Sébastien Bomart, André Schüttpelz, Arberita Kusari, Frieder Beck, Ulrich Kälberer
  • Publication number: 20200049831
    Abstract: A test metric for satellite sent GNSS code signals is proposed, wherein a signal sent by each satellite i is received at different GNSS receivers, and bias-removed, averaged over the receivers and normalized measurement values are derived out of autocorrelation function values. A correlation matrix Ri,n is built from a matrix Xi,n containing the measurement values in the form of measurement value vectors {right arrow over (X)}i,k from the present time epoch tn and from previous time epochs tk with k=1, . . . , n?1, wherein a principal component analysis is done of matrix Ri,n, wherein a transformed vector {right arrow over (T)}i,n=PCi,nT·{right arrow over (X)}i,nT is calculated, with PCi,n containing at least two eigenvectors having the largest eigenvalues of all eigenpairs.
    Type: Application
    Filed: August 2, 2019
    Publication date: February 13, 2020
    Inventors: Sébastien Bomart, André Schüttpelz, Arberita Kusari, Frieder Beck, Ulrich Kälberer