Direct position tracking in GPS using vector correlator
Ramesh Kumar, Athindran
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https://hdl.handle.net/2142/88087
Description
Title
Direct position tracking in GPS using vector correlator
Author(s)
Ramesh Kumar, Athindran
Issue Date
2015-07-21
Director of Research (if dissertation) or Advisor (if thesis)
Gao, Grace Xingxin
Department of Study
Electrical & Computer Engineering
Discipline
Electrical & Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Direct position tracking
Vector correlator
Abstract
Traditional GPS receivers track the code and carrier of individual satellite signals and estimate the position and velocity of the receiver using trilateration. Different from this two-step approach, direct maximum likelihood estimation of position has proved to be beneficial in weak signal and multipath environments. In this thesis, an architecture of a direct position tracking loop that maximizes an approximation to the maximum likelihood cost function is presented. The unscented Kalman filter is used for direct position tracking using the vector correlator sum. This technique of maximizing the vector correlation sum proves to be beneficial in certain kinds of multipath environments. Further, the tracking loop architecture is validated using experiments with a software receiver.
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