基于平稳小波变换的周跳探测方法研究

Cycle Slip Detection Method Based on Stationary Wavelet Transform

常用的周跳探测方法都是基于双频观测组合或差分组合进行周跳探测，对于单频非差相位观测数据，目前尚无很好的方法能够对小的周跳进行探测。针对这一问题，本文提出了一种基于平稳小波变换的周跳探测方法，该方法对观测值做平稳小波分解得到的细节系数进行三次分解，通过探测其细节系数定位周跳位置。使用COMPASS和GPS卫星不同采样实测相位观测数据进行探测试验，研究结果表明：1s采样的数据能有效检测0．5周以上周跳，15s采样数据能够对2周以上周跳进行探测。

The method of cycle clip detection is mostly based on dual - frequncy observations or differentiation. At present, there is no good way to detect small cycle slips for single - frequncy non - differentiation phase observations. To solve this problem, a cycle slip detection method based on stationary wavelet transform is proposed in this article, which make a third decomposition to the specific coefficient from the stationary wavelet transform decomposition of the observations, and then the cycle slip is positioned through the detection. The detection test was carried out with phase observations of COMPASS and GPS different sampling. The results show that 1 s sampling data can effectively detect cycle slips over 0.5 cycles, 15s sampling data over more than 2 cycles.