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遗传算法最优拟合抑制GPS多径研究 被引量：1

Study of optimum fitting using the genetic algorithm for multipath mitigation in GPS receivers
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摘要 在多径时延较短的情况下,传统全球定位系统抑制多径算法无法对短时延多径信号进行有效的抑制,从而导致无法提高全球定位系统的定位精度.提出了一种基于遗传算法的多径逼近方法,将多径信号估计转换为最优拟合问题,采用遗传算法进行优化逼近,避免了逼近模型陷入局部最小值.得出了实际信号中直达信号和多径信号各自的表达式,相当于消除多径干扰,在短时延多径情况下提高了伪距测量精度.给出了遗传算法估计多径的具体步骤.仿真结果表明,这种方法可以将全球定位系统接收机的伪距测量精度提高一倍左右. Traditional GPS receivers can not mitigate the close-in multipath effectively, which reduces the positioning accuracy. A method based on the Genetic Algorithm to approximate the GPS close-in multipath is proposed, which transforms multipath estimation to a best fitting problem. The Genetic Algorithm is used in order to avoid the model＇s falling into the local least value. By accurate estimation of multipath parameters, the multipath is mitigated effectively. The step of the algorithm is described, and the simulation proves that the precision of the measured pseudorange is improved by 2 times in the closein multipath condition.
作者 王江安 庄奕琪 李迪 靳钊
机构地区 西安电子科技大学微电子学院
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2009年第6期1044-1048,共5页 Journal of Xidian University
基金 国家自然科学基金资助(60276028) 863计划项目资助(2003AA1Z1410)
关键词 全球定位系统 多径传播 最优拟合 遗传算法 global positioning system multipath propagation optimum fitting genetic algorithms
分类号 TN914.53 [电子电信—通信与信息系统] TN911.72 [电子电信—通信与信息系统]
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参考文献11

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二级参考文献16

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共引文献8

同被引文献10

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西安电子科技大学学报
2009年 第6期

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