Research And Realization Of Real-time Carrier Phase Difference Location Technology Based On GNSS Receiver

Real-time kinematic(RTK)positioning technology is the main technology in the field of high-precision positioning service.With the increasing demand for positioning navigation technology,the technology in the civilian market has a large demand potential.Single frequency technology in RTK system can meet the demand of civilian products of low cost,high precision characteristics.In this paper,the core algorithm of the single frequency RTK technology is realized,and the optimization analysis based on the existing algorithms and the contrast test of the positioning performance based on the actual scene are carried out.According to the calculation of single frequency RTK technology of high complexity of problem,put forward the optimal principal component precision double station satellite selection scheme based on the precision conditions by satellite preferably reduces the computational complexity of the matrix;the convergence rate of single frequency RTK to solve the problem of slow,put forward relevant solutions to highly adaptive LLL algorithm based on based on ensuring the efficiency of the relevant to improve the success rate of conversion,so as to further compress the search space and improve the speed of convergence.The main research contents are as follows:1.Realization of traditional ambiguity resolution algorithm in RTK.In this paper,the LAMBDA algorithm,which is an integer ambiguity resolution method proposed in the present research of RTK kernel algorithm,is analyzed theoretically and experimentally.Further analysis is made on the solution resource and convergence speed of the algorithm.2.Research and implementation of optimum station selection algorithm for principal components based on dual stations.Aiming at the problem of resource constrained by low-cost,this paper proposes a method of synthesizing the variables of the satellite signals,which takes into account the parameters of bistatic satellite signals.By comparing the optimization algorithm with satellite processing method in original LAMBDA algorithm,the minimum computational complexity of GDOP satellite selection algorithm and the precision of positioning algorithm,the optimized star selection algorithm reduces the computational complexity of the observation matrix by 57.8%and 92.1%,in the case of single and double systems,on the basis of guaranteeing GDOP and positioning accuracy and reducing the negative influence of poor satellite signals.3.Research and implementation of adaptive high degree decorrelation algorithm based on LLL algorithm.In order to solve the problem of slow convergent rate in single-frequency,this paper studies the relationship between the degree of ambiguity correlation and the search space.Firstly,the performance of three commonly used decorrelation algorithms is analyzed,and then an adaptive de-correlation algorithm is proposed based on the LLL algorithm with high de-correlation efficiency and low success rate.Finally,under the condition of single system,the optimization algorithm can reduce the number of spectral condition by about 0.69%on the basis of guaranteeing the relative success rate be increased by 13%to 95%.Therefore,the algorithm can take into account the higher success rate and the decorrelation efficiency,thus compressing the search range and increasing the convergence speed.In this paper,based on the realization of research content,the system hardware and software test environment is set up,the performance of system is shown by the original system with LAMBDA algorithm and the improved algorithm for the low cost and single frequency situation.The performance of the optimization system in terms of convergence speed,satellite stability and baseline accuracy is described.