摘要
LAMBDA算法是目前公认求解整周模糊度效果最好的方法,该算法主要包括模糊度去相关处理(Z变换)和整周模糊度搜索,其中Z变换对高度相关的整周模糊度进行降相关处理是LAMBDA算法的核心内容。本文分析了Z变换中迭代法和联合去相关法两种算法的基本原理,并通过实例对两种算法进行了性能评价,实验分析表明两种算法去相关水平相当,迭代次数无明显差异,但矩阵维数越大,去相关效果越有所下降。总体而言,联合去相关效果略高于迭代法。
LAMBDA algorithm is one of the best methods of solving ambiguity , and the algorithm mainly includes ambiguity decorrela-tion （ Z transform） and integer ambiguity search .In this algorithm that Z transformation reduces the correlation of the highly relevant ambiguity is the core content of LAMBDA algorithm .This paper analyzes the basic principle of iterative method of Z transformation and joint correlation method , and takes the performance evaluation of the two methods by examples .Results show that there is no differ-ence between the level of the iteration method and the combined adjustment method —no significant differences in the number of itera-tions.But if the matrix dimension is greater, decorrelation effect will decline.In general, combined effect is slightly better than the it-erative method .
出处
《测绘与空间地理信息》
2014年第4期51-53,57,共4页
Geomatics & Spatial Information Technology
基金
国家自然科学基金重大研究计划项目(91025022)资助
关键词
LAMBDA
整周模糊度
联合去相关
迭代法
LAMBDA
integer ambiguity
united ambiguity decorrelation
iterative method
