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Chen Y.,Guilin University of Electronic Technology | Chen Y.,Guangxi Key Laboratory of Precision Navigation Technology and Application | Ji Y.,Guilin University of Electronic Technology | Ji Y.,Guangxi Key Laboratory of Precision Navigation Technology and Application | And 2 more authors.
Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing | Year: 2015

Considering the long pseudo-code used by BD2 navigation system with the shortcoming of large resource occupation when employing the traditional matched filter acquisition method, a kind of folded-structure matched filter combined with fast Fourier transform (FFT) is proposed to reduce acquisition time and resource consumption. Firstly, the mathematical model of the algorithm is deduced and the core module among sinc interpolation unit is analyzed. The folded-structure and the FFT unit are realized on field-programmable gate array (FPGA). The experiment result show that the design realized rapid acquisition and low resource consumption. The method can be effectively applied to the signal acquiring of BeiDou navigation system as well as that of the other systems. ©, 2015, Journal of Data Acquisition and Processing. All right reserved.


Cai C.,Guilin University of Electronic Technology | Cai C.,Guangxi Key Laboratory of Precision Navigation Technology and Application | He C.,Guilin University of Electronic Technology | He C.,Guangxi Key Laboratory of Precision Navigation Technology and Application | And 2 more authors.
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2016

A high-precision correction algorithm based on the block IIR-M satellites is proposed to improve the precision of IGS ultra-rapid predicted (IGU-P) products. In order to ensure that the real-time precise point positioning (RTPPP) with high positioning accuracy could come true, it is attempted to get the difference between the first prediction data and the last epoch of IGS ultra-rapid observed (IGU-O), and then to compute the value and determine the direction of accuracy revised value based on influence of the degree of residual value to difference sequence of IGU-O. The numerical examples with the data set of 19 IGU files showed that the prediction accuracy of proposed method was superior to three basic models and IGU-P within 6 hours, the rate of improved accuracy range from 3.48% to 6.13%, and average prediction accuracy of corresponding models were, in order, 0.599 ns, 0.570 ns and 0.531 ns. © 2016, Surveying and Mapping Press. All right reserved.

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