改进的距离约束最小二乘模糊度搜索算法  

An improved length constrained least square ambiguity search algorithm assisted by LAMBDA method

作　　者：高珊 张伟 

机构地区：[1]广州海格通信集团股份有限公司,广州510663 [2]深圳市大疆创新科技有限公司,广东深圳518057

出　　处：《测绘科学》2016年第2期145-148,共4页Science of Surveying and Mapping

摘　　要：针对短基线最小二乘模糊度搜索算法搜索效率低的缺点,该文提出了一种改善模糊度搜索空间以提高模糊度搜索效率的方法。最小二乘搜索算法通过基线长度范围确定模糊度搜索空间,完成模糊度的搜索和确认。距离约束的短基线模糊度搜索空间是一个空心椭球,各模糊度之间具有相关性,影响模糊度搜索效率。该文通过最小二乘去相关调整方法降低模糊度之间的相关性,减少搜索次数。实验证明,该算法的搜索效率提高了25%以上,且随着基线长度的增加,搜索效率有更多的提升。Aiming at the inefficiency of the short baseline least squares ambiguity search algorithm,this paper put forward transforming ambiguity search space to improve searching efficiency.Least squares ambiguity determined search space by baseline length,completed ambiguity search and confirmation.The ambiguity search space is a hollow ellipsoid,and the ambiguities are correlated which influence searching efficiency.In this paper,the ambiguities were decorrelated by LAMBDA method,so the search time reduced.The experimental results indicated that this algorithm improved the search efficiency by more than25%.The longer the baseline length,more obvious the effect.

关 键 词：整周模糊度 最小二乘去相关调整方法 最小二乘搜索 距离约束 

分 类 号：P208[天文地球—地图制图学与地理信息工程]