The Global Position System (GPS) has become a standard method for low cost onboard satellite orbit determination. The use of GPS as an attitude and rate sensor has also been developed in the recent past. Additionally, focus has been given to attitude and orbit estimation using the magnetometer, a low cost, reliable sensor. Combining measurements from both GPS and a magnetometer can provide a robust navigation system which takes advantage of the estimation qualities of both measurements. Ultimately a low cost, accurate navigation system can result, potentially eliminating the need for more costly sensors, including gyroscopes. This work presents the development and preliminary testing of a unified navigation algorithm which produces estimates of attitude, angular rate, position, and velocity for a low earth orbit (LEO) spacecraft. The system relies on GPS phase, range, and range rate data as well as magnetometer data. The algorithm used is an extended Kalman filter (EKF) developed to provide LEO attitude, orbit, and rate estimates using magnetometer and sun sensor data. Incorporating sun sensor data into the EKF improved the attitude and rate estimates. For many LEO spacecraft the sun data is available during only a portion of the orbit. However, GPS data is available continuously throughout the orbit. GPS can produce accurate orbit estimates and combining GPS and magnetometer data improves the attitude and rate estimates. The magnetometer based EKF can converge from large initial errors in position, velocity, and 3 attitude . Combining the magnetometer and GPS data into a single EKF will provide a more robust and accurate system. The EKF is based on an existing EKF. The GPS measurement models for phase, range, and range rate are incorporated into the existing structure of the filter. The original EKF produced the orbit estimates in terms of Keplerian elements. Due to the nature of the GPS measurements and ease of computation, the orbit estimates are converted to the Cartesian position and velocity. The measurement model for the magnetometer is adjusted for this change in the state and the measurements. Preliminary test results based on simulated GPS and magnetometer data are included.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    A LEO Satellite Navigation Algorithm Based on GPS and Magnetometer Data


    Contributors:

    Conference:

    Space Flight Dynamics ; 2000 ; Biarritz, France


    Publication date :

    2000-01-01


    Type of media :

    Preprint


    Type of material :

    No indication


    Language :

    English




    LEO Satellite Navigation Algorithm Based on GPS and Magnetometer Data

    J. Deutschmann / I. Bar-Itzhack / R. Harman | NTIS | 2000


    Leo Satellite Navigation Algorithm Based on GPS and Magnetometer Data

    J. Deutschmann / R. Harman / I. Bar-Itzhack | NTIS | 2001


    A Leo Satellite Navigation Algorithm Based on GPS and Magnetometer Data

    Deutschmann, Julie / Harman, Rick / Bar-Itzhack, Itzhack | NTRS | 2001


    A LEO Satellite Navigation Algorithm Based on GPS and Magnetometer Data

    Deutschmann, Julie / Bar-Itzhack, Itzhack / Harman, Rick et al. | NTRS | 2000


    GPS/Magnetometer Based Satellite Navigation and Attitude Determination

    J. Deutschmann / I. Bar-Itzhack / R. Harman | NTIS | 2001