测绘学报 ›› 2022, Vol. 51 ›› Issue (11): 2273-2284.doi: 10.11947/j.AGCS.2022.20210185

• 大地测量学与导航 • 上一篇    下一篇

GNSS模糊度解算的附加缩放因子的CLAMBDA方法

卢立果1,2, 马立烨3, 刘万科4, 吴汤婷1, 胡伟建1   

  1. 1. 东华理工大学测绘工程学院, 江西 南昌 330013;
    2. 广西空间信息与测绘重点实验室(桂林理工大学), 广西 桂林 541006;
    3. 武汉大学卫星导航定位技术研究中心, 湖北 武汉 430079;
    4. 武汉大学测绘学院, 湖北 武汉 430079
  • 收稿日期:2021-04-15 修回日期:2022-09-26 发布日期:2022-11-30
  • 通讯作者: 刘万科 E-mail:wkliu@sgg.whu.edu.cn
  • 作者简介:卢立果(1989—),男,博士,副教授,研究方向为GNSS模糊度解算。 E-mail: lglu66@163.com
  • 基金资助:
    国家自然科学基金(42264003;41804020;41774031;41861058);广西空间信息与测绘重点实验室研究基金(19-185-10-10)

CLAMBDA method with additional scaling factor for GNSS ambiguity resolution

LU Liguo1,2, MA Liye3, LIU Wanke4, WU Tangting1, HU Weijian1   

  1. 1. School of Geomatics, East China University of Technology, Nanchang 330013, China;
    2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541006, China;
    3. GNSS Research Center, Wuhan University, Wuhan 430079, China;
    4. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2021-04-15 Revised:2022-09-26 Published:2022-11-30
  • Supported by:
    The National Natural Science Foundation of China (Nos. 42264003; 41804020; 41774031; 41861058); Key Laboratory of Spatial Information and Geomatics (Guilin University of Technology)(No. 19-185-10-10)

摘要: 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。

关键词: GNSS, 模糊度解算, CLAMBDA, 搜索空间, 缩放因子

Abstract: 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.

Key words: GNSS, ambiguity resolution, CLAMBDA, search space, scaling factor

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