摘要
针对浮点模糊度精度较差时SEVB算法存在搜索耗时较大的问题,提出一种改进的SEVB算法。该算法通过限制初始搜索空间大小和优化计算过程,能够有效减少模糊度搜索候选点个数和不必要的冗余计算,进而提高搜索效率。试验结果分析表明,当浮点模糊度解算精度较低时,改进算法的搜索效率比SEVB算法明显提高,且其搜索耗时不易受模糊度维数及精度的影响,具有更好的稳定性。
A modified integer ambiguity search algorithm named MSEVB is proposed to overcome the disadvantage that SEVB algorithm is time-consuming under low float ambiguity precision.The proposed algorithm,by restricting initial search space and optimizing the calculation procedure,can effectively reduce the number of ambiguity candidates and redundant computation,so that the search efficiency is improved significantly.The experiment results indicate that MSEVB algorithm has significant improvement in search efficiency,compared with SEVB algorithm,when the precision of ambiguity resolution is low.Moreover,MSEVB algorithm is more insensitive to ambiguity dimension and precision,thus it has better performance in stability.
出处
《测绘学报》
EI
CSCD
北大核心
2018年第1期17-24,共8页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(41774031
91638203
41374007
41464001)
湖北省杰出青年科学基金(2015CFA039)
江西省自然科学基金(2017BAB203032)~~
