Skip to main content
SpringerLink
Log in

On the structure of geometric positioning information in GPS measurements

  • Published:
Journal of Geodesy Aims and scope Submit manuscript

Abstract.

The geometric information from observables of the Global Positioning System is analyzed through the eigenvectors of the normal matrix in the positioning estimation problem. The relationship among observability, bias absorption and loss of information in differencing measurements is addressed. Some general conclusions for point positioning and relative positioning problems are drawn from analytic inference and supported by numerical simulations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. Center for Space Research, C0605, The University of Texas at Austin, Austin, TX 78712, USA, , , , , , US

    D. Kuang & B. E. Schutz

  2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA, , , , , , US

    M. M. Watkins

Authors
  1. D. Kuang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. B. E. Schutz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. M. Watkins
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Received 10 August 1995; Accepted 17 July 1996

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kuang, D., Schutz, B. & Watkins, M. On the structure of geometric positioning information in GPS measurements. Journal of Geodesy 71, 35–43 (1996). https://doi.org/10.1007/s001900050073

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s001900050073

Keywords

Search

Navigation