Direct position tracking in GPS using vector correlator

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Ramesh Kumar, Athindran

Contributors dc:contributor

• Gao, Grace Xingxin

• Direct position tracking
• Vector correlator

Statement dc:rights

• Copyright 2015 Athindran Ramesh Kumar

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/88087

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/88087