Singer模型在周跳探测中的应用

Application of Singer model in cycle slip detection

假设三参数的载波相位多项式,同时利用预报星历数据进行后处理,代估计量假设为Singer模型,采用kalman滤波算法对载波相位进行计算,得到计算与观测载波相位的差值,从而可探测是否发生了周跳。经过仿真实验,表明这种新的周跳检测方法可以很好地检测出周跳,实用性很高。

This study is based on three-parameter carrier phase polynomial assumption ,it does the post processing with forecast star calendar data. Assume the estimated character is Singer model, then calculate the carrier phase using kalman filter algorithm and get the difference of result between calculation and observation. Then the researcher can detect whether a cycle slip occurs. By doing simulation experiment, we found this new cycle slip testing method can efficiently detect the cycle slip and has a significant practical applicability.