引用本文: | 郑庆晖,张育林.利用遗传算法求解整周模糊度[J].国防科技大学学报,2001,23(1):5-10.[点击复制] |
ZHENG Qinghui,ZHANG Yulin.Ambiguity Resolution using Genetic Algorithm[J].Journal of National University of Defense Technology,2001,23(1):5-10[点击复制] |
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利用遗传算法求解整周模糊度 |
郑庆晖, 张育林 |
(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求解载波相位测量中的整周模糊度。首先采用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,然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: 遗传算法 整周模糊度 整数高斯变换 |
DOI: |
投稿日期:2000-10-10 |
基金项目:国家863-2资助项目(863-2-5-1-1.2) |
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Ambiguity Resolution using Genetic Algorithm |
ZHENG Qinghui, ZHANG Yulin |
(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 to ambiguity resolution. Integer Gauss transformation is used to reduce correction, then integer ambiguity is searched for in transformed space using genetic algorithm. Two mutation operators are used to avoid early convergence in the condition of small population size. Simulation shows the new algorithm is more robust and efficienct compare with SGA. |
Keywords: genetic algorithm integer ambiguity integer Gauss transformation |
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