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针对GPS-BDS系统偏差会导致GPS和BDS系统间的混合双差模糊度不具有整数特性,且其不完全稳定的问题,该文提出一种GPS/BDS系统偏差实时在线估计方法。通过将双差模糊度以单差模糊度之差的形式进行求解,然后再将以周为单位的单差模糊度投影为双差模糊度,以此消除GPS和BDS不同波长的影响;在此基础上,采用Kalman滤波对系统偏差进行实时动态估计。实验结果表明,该方法采用较少历元的观测数据便可使系统偏差收敛,并且收敛后十分稳定,可以将其作为校正参数;加入系统偏差改正的GPS/BDS紧组合定位在恶劣环境下表现良好,可将模糊度固定平均所需时间缩短29%,模糊度固定成功率提高45%。
Aiming at the problem that GPS-BDS system deviation will lead to the problem that hybrid double-difference ambiguity between GPS and BDS system does not have integer characteristics and its stability is not completely stable, a real-time on-line estimation method of GPS / BDS system deviation is proposed. By solving the double-difference ambiguity in the form of the difference of single-difference ambiguity and then projecting the single-difference ambiguity in weeks as the double-difference ambiguity, the influence of different wavelengths of GPS and BDS can be eliminated; Based on the Kalman filter, the system bias is estimated dynamically in real time. The experimental results show that this method can converge the system deviation with less epoch observation data, and it can be used as a calibration parameter after convergence. It can be used as a correction parameter; and the GPS / BDS tight combination positioning with systematic error correction can be used in harsh environment Good, you can reduce the time required to fix the ambiguity average 29%, the ambiguity fixed success rate increased by 45%.