ZHANG Hongping, YANG Shujiang. The 5-Parameter-Model for GPS Receiver Fast Positioning[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1312-1315.
Citation: ZHANG Hongping, YANG Shujiang. The 5-Parameter-Model for GPS Receiver Fast Positioning[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1312-1315.

The 5-Parameter-Model for GPS Receiver Fast Positioning

Funds: 国家973计划资助项目(2009CB724002);国家863计划资助项目(2009AA12Z321,2006AA12A109);武汉大学测绘遥感信息工程国家重点实验室专项科研经费资助项目
More Information
  • Received Date: September 17, 2009
  • Revised Date: September 17, 2009
  • Published Date: November 04, 2009
  • In the condition of weak signals,GPS receiver's baseband cannot lock on the modulated data in L1 signal to get accurate transmit time,but only get the fraction under 1 ms,or get 1 ms and the fraction under 1 ms but can not get 20 ms navigation-bit stream. On the other hand,while GPS module is embedded into mobile or other devices with time maintaining functional designed,GPS receiver starts working with a roughly initial time. With this initial time,we can estimate GPS signal transmit time's ambiguity (number of 1 ms or 20 ms) instantly as long as we get fraction time in GPS baseband processing and ephemeris from GPS signal or outside aiding information. At this time,the 5-parameter-model is used for positioning.This paper first addresses the algorithm in detail. Then we design two groups of starting test experiment using software receiver and log the middle-frequency data from RF output. Post-processing technology simulates the starting test with two groups of 950 trials and 600 trials,corresponding to 42 dBHz and 32 dBHz. The results show that even if in high power status,the N bit resolution with acceptable positions is successful at a rate of 90%. In middle-or low-power level (about 32 dBHz),the success rate is about 60%. These results indicate that strict quality control algorithm should be introduced into engineering development for the 5-parameter solution.
  • Related Articles

    [1]LÜ Zhipeng, SUI Lifen. A Structured Total Least Squares Method Based on Nonlinear Gauss-Helmert Model[J]. Geomatics and Information Science of Wuhan University, 2019, 44(12): 1808-1815. DOI: 10.13203/j.whugis20180104
    [2]WANG Leyang, WU Fei, WU Liangcai. Total Least Squares Fitting Estimation Model for GPS Height Transformation[J]. Geomatics and Information Science of Wuhan University, 2016, 41(9): 1259-1264. DOI: 10.13203/j.whugis20140421
    [3]LIU Jian, WANG Qijie, ZHANG Hao. Prediction of LOD Change Based on the LS and AR Model with Edge Effect Corrected[J]. Geomatics and Information Science of Wuhan University, 2013, 38(8): 916-919.
    [4]XIANG Wei, GUO Jiming, FU Lu. Hyperbolic Settlement Model Based on Least squares Orthogonal Distances Fitting[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 571-574.
    [5]TU Rui, ZHANG Qin, HUANG Guanwen, LING Qing. Establishment of Regional Ionospheric Delay Model in Xi'an Based on Phase Smoothing Pseudo-Range and LS Surface Function[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 218-221.
    [6]QIU Weining, QI Gongyu, TIAN Fengrui. An Improved Algorithm of Total Least Squares for Linear Models[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 708-710.
    [7]YOU Wei, FAN Dongming, FU Shujuan. Nonlinear Least Squares Adjustment Based on Homotopy Functions and Filled Functions[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 185-188.
    [8]HU Zhigang, HUA Xianghong, LI Zhao, HAN Hongchao. Nonlinear Surveying Model Parameters Estimation Based on Homotopy Arithmetic[J]. Geomatics and Information Science of Wuhan University, 2008, 33(9): 930-933.
    [9]ZHANG Shuangcheng, YANG Yuanxi, ZHANG Qin, GAO Weiguang. An Adaptively Robust Filter Based on Bancroft Algorithm in GPS Navigation[J]. Geomatics and Information Science of Wuhan University, 2007, 32(4): 309-311.
    [10]ZHANG Qin, TAO Benzao. Uniform Model of Nonlinear Least Squares Adjustment Based on Homotopy Method[J]. Geomatics and Information Science of Wuhan University, 2004, 29(8): 708-710.

Catalog

    Article views (1069) PDF downloads (645) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return