摘要
周跳探测与修复一直是GPS数据处理中的核心问题之一,在无其他信息辅助的情况下,为寻求较为适用于工程实现的周跳探测与修复方法,从理论和工程实现的角度深入研究了目前研究较多的电离层残差法、小波变换法和Kalman滤波法探测及修复周跳的相关技术,并利用接收机实测数据对三种方法的性能进行充分比较,实验结果验证了以上方法均能正确探测出周跳的发生,而在修复方面Kalman滤波法的效果最佳,且计算量和工程实现方面具有优势,具有一定的参考价值。
The cycle-slip detection and repair is one of the core questions in the GPS data processing and the precondition of obtaining high precision positioning and navigation results.The computational procedures of ionosphere residual error,wavelet transform and Kalman filtering for cycle-slip detection and repair are proposed and described.The analysis and conclusions are given through examples with real GPS data from NovAtel receiver.The locations of cycle-slip can be detected by all the methods above and Kalman filtering showed better performance in the repair aspect.
出处
《信息技术》
2012年第10期107-111,共5页
Information Technology
