GNSS模糊度解算的附加缩放因子的CLAMBDA方法

CLAMBDA method with additional scaling factor for GNSS ambiguity resolution

针对弱GNSS模型下,约束LAMBDA(CLAMBDA)算法初始搜索空间过大,导致模糊度解算效率低下的问题,本文提出了基于缩放因子自适应调整搜索空间的ASS算法,并讨论了采用上下边界分别设置初始空间对ASS算法的影响。通过两组实测算例对ASS算法解算性能进行了试验验证。结果表明,ASS算法采用缩放因子可以有效地调整搜索空间,提高搜索效率;基于下边界设置初始空间可以进一步提高ASS算法的解算性能。

Under the weak global navigation satellite system(GNSS)model,the initial search space of constrained LAMBDA(CLAMBDA)is too large,which leads to the problem of low ambiguity resolution efficiency.In the paper,an adaptive adjust search space for bounding functions search and shrink strategy(ASS)algorithm based on scaling factor is proposed,and the influence of setting the initial space with upper and lower boundaries on ASS algorithm is discussed.Then the performance of ASS algorithm is experimentally verified through two sets of measured examples.The results show that ASS algorithm with scaling factor can effectively adjust the search space and improve the search efficiency.Besides,setting the initial space based on the lower boundary can further improve the performance of ASS algorithm.