Date of Award
5-2025
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Aerospace, Physics, and Space Sciences
First Advisor
Madhur Tiwari, Ph.D.
Second Advisor
Camilo Andres Riano-Rios, Ph.D.
Third Advisor
Seong Hyeon Hong, Ph.D.
Fourth Advisor
Ratneshwar Jha, Ph.D.
Abstract
This study presents an implementation of state estimation for a drag-based rendezvous mission involving multiple chaser spacecraft and a single target, using Unscented Kalman Filtering (UKF) with Global Positioning System (GPS) measurements. The implemented method combines GPS navigation solutions with UKF to provide real- time state estimates of all spacecraft involved. Nonlinear least squares method is employed to process pseudorange and pseudorange rate measurements to determine receiver states, UKF utilizes these states as measurements to estimate absolute space- craft positions and velocities. This implementation also addresses practical challenges including raw GPS measurement processing, and varying GPS satellite geometries.
Recommended Citation
Gopu, Bala Prenith Reddy, "Implementation of Unscented Kalman Filter-based State Estimation for Multiple Spacecraft using Global Positioning System Measurements" (2025). Theses and Dissertations. 1536.
https://repository.fit.edu/etd/1536
