多普勒积分辅助的动态单频周跳探测

相位伪距组合法常应用于动态单频周跳探测，但其探测周跳的效果受伪距噪声的影响较大。因此有必要结合其他的观测值，以降低伪距噪声的影响，从而提高单频周跳探测能力。提出了一种多普勒积分辅助的动态单频周跳探测方法，先采用多普勒观测值平滑伪距观测值，降低伪距的噪声，再进行历元间差分，显著提高了动态单频周跳探测的能力。实验分别采用不同采样率、高度角变化、连续周跳和含粗差的实时动态实测数据，分别在不同历元加入1周、3周、10周的模拟周跳，在相邻历元分别加入3周、4周和5周的连续周跳。结果表明，相较于相位伪距组合法与基于多项式拟合法的相位伪距组合法，该方法可以实时探测出所有的模拟周跳。多普勒积分辅助的动态单品周跳探测方法能够显著提升单频观测值的周跳探测能力。

Doppler Integration Aided Kinematic Single-Frequency Cycle Slip Detection

  Objectives  The code-phase combination method is often used to detect cycle slips in kinematic single-frequency data, but its detection effect is greatly affected by pseudorange noise. Therefore it is necessary to combine other observations to reduce the effect of pseudorange noise for improving its detection capability.  Methods  We propose a Doppler integration aided kinematic single-frequency cycle slip detection method, which first uses Doppler observations to smooth the pseudorange observations for reducing the noise of the pseudorange, and then gets epoch-difference values. In this way, we can significantly improve the capability of kinematic single-frequency cycle slip detection. The experiments use real-time dynamic data different sampling rates, altitude angle variations, continuous cycle slips and coarse differences, respectively. The simulated cycle slips of the different cycle are added at different epochs, and the continuous cycle slips are added at adjacent epochs.  Results  The results show that the proposed method compared with the code-phase combination method and the code-phase combination method based on polynomial fitting can detect all the simulated cycle slips in real time.  Conclusions  The method of Doppler integration aided kinematic single-frequency cycle slip detection can significantly improve the capability of the single-frequency cycle slips detection.