【摘要】 提出一种新的实时方法探测和修复高动态环境下的GPS载波相位周跳。该方法仅使用单站星双频GPS伪距和载波相位数据,而且其每颗星的数据处理是独立的,所以没有最小卫星数的限制。周跳探测时,在相邻历元间时间差模型基础上建立卡尔曼滤波模型,根据滤波残差探测大周跳(>4周),然后用电离层残差法完成对小周跳(≤4周)的探测;周跳修复时,先使用两步卡尔曼滤波的质量控制方法修复周跳到小周跳范围,最后用电离层残差法完成周跳修复。使用该方法处理1 Hz采样CHAMP卫星数据,结果表明,该方法可以有效可靠地对载波相位周跳进行探测和修复。而且该方法需要的信息量和计算量小,算法易于计算机实现,适合应用于实时周跳的监测。更多还原

【Abstract】 A novel real-time method for detecting and repairing cycle slips in a dynamic environment is presented.The method only uses the single satellite-station GPS data,including dual frequency pseudo-range observations and the carrier phases.In addition,each satellite processing is independent,so there is no limit for minimal number of satellites.While detecting the cycle-slip,a Kalman filter model is established based on the epoch-by-epoch difference model.Filtering residuals can detect the large cycle-slip(>4 cycles),and then the ionosphere residual error method can detect the small cycle-slip(≤4 cycles).While repairing the cycle-slip,the tow-stage Kalman filter quality control method fixes the large cycle-slip and transforms the large cycle-slip into small one.And eventually,the ionosphere residual error method repairs the small cycle-slip.Some measurements of CHAMP at 1 Hz data rate are processed.Results show that the method is effective and available,and the algorithm is easy to be achieved by the computer.更多还原