GNSS Integer Ambiguity Resolution Methods Applied by Kalman Filter — The Review and Comparison

GNSS Integer Ambiguity Resolution Methods Applied by Kalman Filter — The Review and Comparison
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卡尔曼滤波器应用的GNSS整数模糊度消解方法——回顾与比较

DOI:
10.5687/sss.2018.131
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发表时间:
2018
期刊:
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
影响因子:
--
通讯作者:
S. Sugimoto
S. Sugimoto
中科院分区:
--
文献类型:
--
作者:
K. Abe;Y. Arakawa;Y. Kubo;S. Sugimoto

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本文研究了基于卡尔曼滤波的全球卫星导航系统(GNSS)载波相位定位中整数模糊的几种解决方法。重点研究了最小二乘歧义去相关调整(LAMBDA)[1,2]方法与卡尔曼滤波的集成方法。从理论和实验的角度对它们进行了比较,并对它们的特性和性能进行了研究。我们使用真实的接收机数据进行了实验,并评估了整数模糊度分辨率的性能。在此基础上,提出了一种利用卡尔曼滤波解决歧义的方法。
In this paper, we investigate several methods to resolve in-teger ambiguities in Global Navigation Satellite Systems (GNSS) carrier phase positioning applied by Kalman fil-ter. Especially, we focus on integration methods of Least squares AMBiguity Decorrelation Adjustment (LAMBDA) [1, 2] method and Kalman filter. They are compared from theoretical and experimental points of view, and their characteristics and performance are investigated. We conduct experiments using real receiver data, and evaluate the inte-ger ambiguity resolution performance. Based on the results, we show a guideline to resolve ambiguities with Kalman fil-ter.
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发表时间: 2016
期刊: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
影响因子: --
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DOI: --
发表时间: 2006
期刊: Proc.of the 38th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (掲載決定)
影响因子: --
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DOI: --
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