Quick Ambiguity Resolution Of Vrs's Rover Station

The flow terminal of VRS realizing real-time and highly accurate location which used to solve the carrier phase station star double difference observation. the basics estimation method is the float solution of double-difference. Double-difference search algorithm is critical. This article discusses the detection and reparation of the phase cycle slip, the carrier phase station star double difference observation and its linearization, adopting least square algorithm to estimate the flow terminal of double integer ambiguity and the covariance matrix. Then discuss and research the covariance method of ambiguity. Especially gives the method of LAMBDA a detail analysis. Also according to the process of the lower correlation transform appear the morbid Z transform propose the improved method of regularization. Finally, according to experiment analyze the paper method. Quickly fix the ambiguity. Finally realize the flow terminal of VRS ambiguity real-time fixed. Details are as follows:Firstly, the GPS phase observation equation is made to linearization, and derive the station star double difference observation. Give the solution of double difference observation.Secondly, introduce the basic principles of covariance ambiguity search. Researching and anglicizing the covariance optimization Cholesky resolution realize the quick search of ambiguity.analyse integer least square ambiguity reduction correlation adjustment. Adopt Cholesky decomposition and the untied Z transform realize the reduction correlation. Thirdly, the morbid state transform is opposite in the process of the method of LAMBDA, this paper proposed covariance regularization method: in the front of reduction correlation integer transform oppose the covariance Tikhonov regularization, effectively improve the reliability solution of double difference ambiguity. Implement the algorithm in this paper. And deflation of experimental data test and verify the feasibility of the algorithm.