|Institution:||University of Illinois – Urbana-Champaign|
|Keywords:||Direct position tracking; Vector correlator|
|Full text PDF:||http://hdl.handle.net/2142/88087|
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. Advisors/Committee Members: Gao, Grace Xingxin (advisor).