Implement High Precision Relative Positioning Between High Dynamic Objects Based On GNSS Translators

Nowadays, Based on GPS translator to implement relative positioning is a newaircraft relative positioning method, it has advantages of low cost, high precision andconvenient to use. Relative displacement between the translators can be obtained byreal-time and post processing using double-difference carrier phase which obtain from thetranslated satellite signal in object receiver. With the development and improvement ofBeiDou Navigation System, utilizing carrier phase observation to implement objectsrelative positioning has being a focus in the field of navigation and positioning. Thispaper mainly studies on system composition, work principle and key technology ofimplementing high precision relative positioning between high dynamic objects based onGPS/BD translator.This paper studies the GPS/BD translator which has function of translating the GPSand BD satellite signal on the basis of GPS translator and analysis the problem in highprecision relative positioning based on GPS/BD translator. And two aspects arehighlighted:(1)The study of the system composition and work principle of GPS/BDtranslator, the analysis of error factors which has effect on observation precision andpropose corresponding methods to eliminating and weakening these errors.(2) Integerambiguity resolution in high dynamic condition: In view of the fact that there are manyfrequencies can be used in each navigation system, a multi-frequency single epoch rapidinteger ambiguity resolution algorithm is proposed, which is based on CIR algorithm,utilizing the ordering and multi-time(inverse) paired Cholesky decomposition to reducethe correlation of ambiguity float solution and covariance matrix，using closest pointsearch in lattices to fix integer ambiguity, it can be extended to dual-frequency andthree-frequency.At last, static and dynamic experiment is doing in measurement platform which putup by NovAtel receiver. The experimental results show that the mean error of baselinewhich obtain by dual-frequency single epoch rapid integer ambiguity resolution methodis within the range of centimetre, it proves that the algorithm is correct and effective. Compare the algorithm with others algorithm, the comparison results show that thesuccess rate of dual-frequency single epoch rapid integer ambiguity resolution algorithmis relatively high and the computing speed is rather fast. Because there is nothree-frequency data, therefore the experimental three-frequency data is generated by theMATLAB simulation platform. In the different carrier phase and pseudo-rangeobservation noise condition, compare the success rate of three-frequency single epochrapid integer ambiguity resolution algorithm with CIR algorithm, simulation experimentshow that when the observation noise is the same, the success rate of new algorithm ishigher than CIR algorithm in the process of using single epoch observation data to fixambiguity, and it can tolerate larger observation noise.