Skip to content
Free planNo credit card requiredStart writing

article · 2002

Integer ambiguity resolution for GPS based attitude determination system

Chansik Park, Ilsun Kim

Cited by 10Abstract and details only

Abstract

The attitude of a vehicle can be precisely determined using GPS (Global Positioning System) carrier phase measurements from more than two antennas attached to the vehicle with properly applied efficient integer ambiguity resolution technique. Many methods utilizing the known baseline length as a constraint have been proposed to resolve integer ambiguity in real-time manner. Three-dimensional search space is reduced to two-dimensional search space with this constraint. But there exist still strong requirements for the fast integer ambiguity resolution, which uses single epoch measurement of longer baseline. In this paper, a new constraint from the geometry of multiple baselines is derived. With this new constraint, two-dimensional search space is further reduced to one-dimensional search space.

Cite this paper

APA 7

Park, C., & Kim, I. (2002). Integer ambiguity resolution for GPS based attitude determination system. https://doi.org/10.1109/sice.1998.742988

MLA 9

Park, Chansik, and Ilsun Kim. “Integer ambiguity resolution for GPS based attitude determination system.” 2002, pp. 1115–20, https://doi.org/10.1109/sice.1998.742988.

Chicago

Park, Chansik, and Ilsun Kim. 2002. “Integer ambiguity resolution for GPS based attitude determination system.” https://doi.org/10.1109/sice.1998.742988.

Harvard

Park, C. and Kim, I. (2002) ‘Integer ambiguity resolution for GPS based attitude determination system’. Available at: https://doi.org/10.1109/sice.1998.742988.

BibTeX
@article{park2002integer,
  title = {{Integer ambiguity resolution for GPS based attitude determination system}},
  author = {Park, Chansik and Kim, Ilsun},
  pages = {1115--1120},
  year = {2002},
  doi = {10.1109/sice.1998.742988}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.