Research And Implementation Of Positioning Algorithm In High Precision Gnss Multi-Mode Recesiver

Global Navigation Satellite System(GNSS) can provide global, all-weather information on positioning, speed and timing, has the advantages of low cost, high precision, high reliability and real-time, show strong competitiveness in the field of navigation and positioning, and has been applied to more and more people life and various fields of military.In this paper, mainly on studying the realization of high precision multi-mode algorithm in GNSS receiver Technology Engineering, and the basic principle of GNSS receiver combined positioning and Kalman filter technology, giving the implementation of mutil-mode system, positioning accuracy using a variety of means to improve the iterative least squares, and uses the autonomous integrity monitoring algorithm to ensure the reliability of positioning. Modeling of the state equation and the observation equation of the motion state variables with a current statistical model, in line with the actual carrier motion in the scene, completed the high dynamic user position and velocity real-time solution based on the Extended-Kalman Filter. At the same time, considering the divergence problem appears in the filtering process, this paper has carried on thorough discussion to several effecitive methods.Finally, presents the implementation scheme of least squares and Kalman filter positioning combining software and verified by simulation and test, results show that high dynamic scene of least square method and receiver positioning and velocity measuring accuracy of Kalman filter is superior to the traditional based on adaptation and better effect of strong maneuvering state high dynamic scene motion of the carrier.