基于互差中值加权的北斗周跳探测算法

Beidou cycle slip detection algorithm based on mutual difference median weighting

针对单站传统方差加权粗差探测周跳算法的不足,提出一种基于单站互差加权的历元差分观测模型北斗周跳探测算法。在观测数据中构建历元间载波相位差分模型,采用互差加权的平差法,对北斗历元差分数据进行粗差探测。基于卡方分布对差分数据进行假设与检验,用于确定发生周跳的卫星以及周跳值。实测数据表明,当有效的卫星满足定位需求时,该算法对北斗周跳敏感,其探测精度达到1周。

Aiming at the shortcomings of single-station traditional variance-weighted gross error detection cycle slip method, a Beidou cycle slip detection method based on single-station mutual error weighted epoch difference observation model is proposed. The carrier phase difference model between epochs is constructed from the observation data, and the mutual difference weighted adjustment method is used to perform gross error detection on the Beidou epoch difference data. Based on the chi-square distribution, the hypothesis and test are performed on the difference data to determine the satellite and the cycle slip value. The measured data shows that when effective satellites meet the positioning requirements, the method is sensitive to Beidou cycle slip, and it can accurately detect one cycle slip.