| 引用本文: | 郑庆晖,张育林.基于遗传算法的整周模糊度OTF解算.[J].国防科技大学学报,2001,23(3):12-17.[点击复制] |
| ZHENG Qinghui,ZHANG Yulin.OTF Ambiguity Resolution Based on Genetic Algorithm[J].Journal of National University of Defense Technology,2001,23(3):12-17[点击复制] |
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| 基于遗传算法的整周模糊度OTF解算 |
| 郑庆晖, 张育林 |
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(国防科技大学 航天与材料工程学院, 湖南 长沙 410073)
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| 摘要: |
| 建立了一种基于简单遗传算法的改进模糊度搜索方法。首先采用一组约束方程求解模糊度浮点数解，然后UDUT和LDLT分解对整周模糊度进行整数高斯变换以降低各整周模糊度之间的相关性，最后利用遗传算法进行整周模糊度搜索。在种群个体较少的情况下，为了避免早熟使搜索陷入局部最优，提出两种变异算子，保持个体的多样性。仿真结果表明改进后的算法能够实时动态解算整周模糊度，且较使用简单遗传算法具有更快的搜索速度和鲁棒性。 |
| 关键词: GPS 遗传算法 整周模糊度 整数高斯变换 |
| DOI： |
| 投稿日期：2000-11-07 |
| 基金项目:国家863高技术资助项目(863-2-5-1-1.2) |
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| OTF Ambiguity Resolution Based on Genetic Algorithm |
| ZHENG Qinghui, ZHANG Yulin |
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(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A new algorithm based on genetic algorithm is formulated. A set of constraint equation is used to get float ambiguity, then Integer Gauss transformation is used to reduce the correlativity of ambiguity, then integer ambiguity is searched in transformed space using genetic algorithm. Two mutation operators are used to avoid early convergence under the condition of small population size. Simulation shows the new algorithm is more robust and efficient compared with SGA. |
| Keywords: GPS genetic algorithm integer ambiguity integer Gauss transformation |
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