| GPS单点定位精度优化方法研究 |
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| 引用本文： | 刘志忠,王雄,刘超,陈琨.GPS单点定位精度优化方法研究[J].机械与电子,2010(8):14-16. |
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| 作者姓名： | 刘志忠 王雄 刘超 陈琨 |
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| 作者单位： | 西北工业大学机电学院,陕西,西安,710072 |
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| 摘 要： | 针对GPS单点定位精度低的问题,提出了一种基于卡尔曼滤波和模糊C-均值聚类的联合定位优化方法.该方法首先对GPS采集到的经纬度数据进行卡尔曼滤波,消除较大的数据波动,然后采用模糊C-均值聚类算法确定数据中心.最后通过实验证明了这种优化方法的合理性和有效性.
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| 关 键 词： | GPS 定位精度 卡尔曼滤波 模糊聚类 |
Research on Accuracy Optimization for GPS Single Point Positioning |
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| LIU Zhi-zhong,WANG Xiong,LIU Chao,CHEN Kun.Research on Accuracy Optimization for GPS Single Point Positioning[J].Machinery & Electronics,2010(8):14-16. |
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| Authors: | LIU Zhi-zhong WANG Xiong LIU Chao CHEN Kun |
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| Affiliation: | (School of Mechanical Engineering,Northwestern Polytechnical University,Xi＇ an 710072,China) |
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| Abstract: | In order to solve the problem of low accuracy for GPS single point positioning,this paper put forward a new combined location optimization method which based on Kalman filter and fuzzy C-means clustering.Firstly,the latitude and longitude data collected by GPS was filtered through Kalman filtering,which can eliminate large fluctuations in the data.Secondly,using the fuzzy C-means clustering algorithm determined the data center.Finally,the experiments demonstrated rationality and effectiveness of this optimization method. |
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| Keywords: | GPS |
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