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  • 标题:Carrier Phase Difference Positioning with Kalman Filter
  • 本地全文:下载
  • 作者:Xiao-dong Su ; Yu-ru Zhang ; Hai-tao Jiang
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:3
  • 页码:293-304
  • DOI:10.14257/ijsip.2014.7.3.24
  • 出版社:SERSC
  • 摘要:Today Global Positioning System (GPS) is the most important system of positioning in the world and is used in different industries. Carrier phase has a substantial accuracy, but its main problem is that it is an indirect measurement which only computes the displacement. In order to realize precision positioning, this paper proposes an improved satellite positioning algorithm based on carrier phase difference and Kalman filter. The second-difference positioning mathematical model aiming at satellite navigation signal carrier phase on a single fiducial station is established. For the integer ambiguity influence of carrier phase, it presents the mathematical model to eliminate. The Kalman filter is constructed, so that it is more improvement of system stability. Then, it realizes positioning by computer simulation, and the results show that the accuracy of the algorithm is higher.
  • 关键词:Positioning Precision; Carrier Phase; Kalman Filter; Integer Ambiguity
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