Patents by Inventor Nico Reussner

Nico Reussner 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: 11125890
    Abstract: The invention relates to a method carried out by a navigation satellite system (NSS) receiver or a processing entity receiving data therefrom, for estimating parameters useful to determine a position. The NSS receiver observes NSS signals from NSS satellites over multiple epochs. A filter, called “precise estimator”, is operated, which uses state variables, makes use of NSS signals observed by the NSS receiver, and computes its state variable values based on observations that are not derived from NSS signals observed by the NSS receiver. Seeding information is obtained, and a constrained solution, called “seeding- and ambiguity-constrained solution”, is computed by constraining the ambiguities of the precise estimator by the seeding information, by resolving the resulting ambiguities, and by constraining at least one of the other state variables of the precise estimator by the resolved ambiguities. A corresponding system is also disclosed.
    Type: Grant
    Filed: December 4, 2018
    Date of Patent: September 21, 2021
    Assignee: Trimble Inc.
    Inventors: Xiaoming Chen, Nico Reussner, Stephan Seeger
  • Publication number: 20190196024
    Abstract: The invention relates to a method carried out by a navigation satellite system (NSS) receiver or a processing entity receiving data therefrom, for estimating parameters useful to determine a position. The NSS receiver observes NSS signals from NSS satellites over multiple epochs. A filter, called “precise estimator”, is operated, which uses state variables, makes use of NSS signals observed by the NSS receiver, and computes its state variable values based on observations that are not derived from NSS signals observed by the NSS receiver. Seeding information is obtained, and a constrained solution, called “seeding- and ambiguity-constrained solution”, is computed by constraining the ambiguities of the precise estimator by the seeding information, by resolving the resulting ambiguities, and by constraining at least one of the other state variables of the precise estimator by the resolved ambiguities. A corresponding system is also disclosed.
    Type: Application
    Filed: December 4, 2018
    Publication date: June 27, 2019
    Inventors: Xiaoming Chen, Nico Reussner, Stephan Seeger