系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (4): 708-715.doi: 10.3969/j.issn.1001-506X.2019.04.02

• 电子技术 • 上一篇    下一篇

基于载噪比模型加权的GNSS双频载波和差联合跟踪算法优化与分析

刘文学1,2, 袁洪1, 葛建1   

  1. 1. 中国科学院光电研究院, 北京 100094; 2. 中国科学院大学电子电气与通信工程学院, 北京 100049
  • 出版日期:2019-03-20 发布日期:2019-03-20

Optimization and analysis of GNSS dual frequency sum diff joint tracking algorithm based on CNR model weighting

LIU Wenxue1,2, YUAN Hong1, GE Jian1   

  1. 1. Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094,China; 2. School of Electronic,
    Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2019-03-20 Published:2019-03-20

摘要:

前期发展的全球导航卫星系统(global navigation satellite system, GNSS)双频载波和差联合跟踪算法存在双频信号载噪比不一致情况下双频信号跟踪稳定度和跟踪精度较差问题,对此提出了优化改进的算法。针对实际应用中共星双频信号存在的信号载噪比不同情况,优化原有双频载波和差联合跟踪环路结构,基于载噪比模型计算GNSS双频信号在双频载波和差联合跟踪环路中的加权值,利用该加权值实现共星双频信号的载波和差联合跟踪。算法理论分析和仿真结果表明,优化后的基于载噪比模型加权的GNSS双频载波联合跟踪算法更加适用于实际应用条件,能够提高原有算法在双频信号载噪比不一致情况下共星双频信号跟踪稳定性和跟踪精度。

Abstract:

The pre developed global navigation satellite system (GNSS) dual frequency sum diff joint tracking algorithm has the shortcoming of poor tracking robustness and tracking precision of dualfrequency signals in the case of inconsistent carrier-to-noise ratio (CNR) of dual frequency signals. An optimized and improved the original sumdiff joint tracking algorithm method is proposed and the main idea is to optimize the original dualfrequency sumdiff joint tracking loop structure for different CNR of the common satellite in practical applications. The weighted value of the GNSS dualfrequency signal in the dualfrequency sumdiff joint tracking loop is calculated based on the CNR weighting model, and the carrier joint tracking of the dualfrequency signal is achieved by using the weighted value. The algorithm simulation results show that the improved GNSS dualfrequency sumdiff joint tracking algorithm based on CNR model weighting is more in line with the practical application, and can improve the tracking robustness and precision of the original algorithm in the case of inconsistent CNR of dual frequency signals.