Research On User Terminal Of High Dynamic GPS Receiver

Global Positioning System (GPS) is a precise satellite navigation system of new generation. GPS has been widely concerned on military and the civilian since it was used , which has been developed rapidly, for its characteristics of providing all-global, all-weather,continuous,real time and high accuracy three-dimensional positioning.With the development of science and technology,satellite navigation has been progressing to the direction of high-accuracy and high-dynamic.Filtering algorithm is a key technology of high dynamic GPS receiver,which has been influenced on the positioning accuracy directly.In this thesis,the filtering algorithms of high dynamic GPS positioning system are studied deeply.And the main productions of this thesis are as follows:1. A model of pseudo-range and Doppler shifts measurements are used for high dynamic GPS receiver based positioning estimation.The Extended Kalman Filter is studied in the applications of high dynamic GPS receiver. And the Extended Kalman Filter algorithm is simulated with Matlab in the platform of GPS.2. The Unscented Kalman Filter is studied in the applications of GPS. Based on the Extended Kalman Filter and the Unscented Kalman Filter,a new algorithm which combines Unscented Kalman Filter with the Extended Kalman Filter is proposed. And the two filtering algorithms are simulated with Matlab in the platform of GPS. The performances of the three filtering algorithms are compared by simulation.It is demonstrated that the new algorithm has better filtering precision,and reduces the computing time,which may meet the demand for accuracy and real time of high dynamic receiver.3. Navigation data processing modules of GPS are designed.And each module has been implemented with DSP.