摘要
受伪距噪声的影响,Turbo Eidt法中M-W组合难以探测所有周跳。分析了M-W组合观测量的误差特性,指出伪距误差导致周跳漏检、探测延迟的原因。采用小波阈值消噪方法对M-W组合观测值进行处理,阈值估计使用Visushrink方法可削弱伪距噪声、增加周跳的辨识度。消噪后,周跳会发生扩散,除当前历元外,前后多个历元均会超出阈值,便于探测。实测数据结果表明:经小波消噪后的M-W组合观测值能够准确定位小至1周的所有周跳,避免漏检现象,增强周跳探测的可靠性。
Affected by the pseudorange noise, it was difficult to detect cycle slips correctly and completely using MW combined observation in Turbo Edit algorithm. First, an analysis on the error property of M-W combination was made and the actual ability of cycle slip detection was evaluated, including leak detection and latency issue.Wavelet threshold de-noising method and Visushrink threshold estimation method were taken to deal with the M-W combined observations, which could weaken the pseudorange noise, and make cycle slip more recognizable. Cycle slip would spread out after de-noising, which meant that the test parameters would exceed the threshold at multiple epoch, making it easier to detect. It was found that the cycle slip of 1 cycle could be located easily after wavelet de-noising, and the reliability was enhanced.
出处
《测绘科学技术学报》
CSCD
北大核心
2015年第1期22-26,31,共6页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41274016
41174006
40974010)
关键词
周跳探测
小波变换
M-W组合
消噪
漏检
cycle slip detection
wavelet transform
M-W combination
de-noising
leak detection
