基于载噪比加权的BDS周跳探测方法研究

Research on BDS Cycle Slip Detection Methods Based on CNR-Weighted

针对现有的周跳探测方法中载噪比(carrier-to-noise ratio,CNR)数据未被有效利用这一问题,在分析BDS卫星种类对MW(Melborne-Wubbena)组合观测值影响的基础上,基于传统TurboEdit算法,根据BDS不同种类卫星提出一种基于载噪比加权的MW组合周跳探测模型。测试结果表明,相比于传统TurboEdit算法,该方法可以有效减少BDS-2的IGSO卫星和MEO卫星因系统偏差引起的周跳漏检和误检,具有一定的优越性。

In order to solve the problem that the carrier-to-noise ratio(CNR)data of existing cycle slip detection methods is not effectively utilized,based on influence analysis of the type of BDS on the MW combination observation value,we propose a CNR-weighted MW combination cycle slip-detection model based on the traditional TurboEdit algorithm for different types of BDS satellites.The test results show that the method is superior to the traditional TurboEdit algorithm in effectively reducing the cycle slip miss-detection and false-detection caused by system bias for IGSO and MEO satellites of BDS-2.