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机构地区:[1]国防科学技术大学机电工程与自动化学院,湖南长沙410073
出 处:《兵工自动化》2011年第1期49-52,共4页Ordnance Industry Automation
摘 要:为综合考虑地磁标准差、地磁费歇信息量、地磁编码失真量等特征参数对选取结果的影响,研究基于支持向量机的地磁匹配区域选取方法。先计算地磁特征参数,准确有效地表示地磁信息;再选择合适的训练样本集,并通过选择合适的核函数及核函数参数,实现了匹配区域及非匹配区域的正确分类;最后,将测试样本集作为检验核数据对分类器效果进行检验,并根据总体精度和第二类错误率的大小选择合适的核函数参数,通过测量的地磁数据进一步进行了验证。结果表明,该方法分类简单,适应性强,能够进行匹配区域的正确选择。Considering the impact on the selection of matching areas of geomagnetic standard variance, fisher information content and code distortion together, the paper studies a method for selecting suitable matching area by using support vector machine. First, reasonable measure parameters of geomagnetic field were calculated, which could represent geomagnetic information accurately and effectively. Then by coding the measured parameters as input feature vectors of training set, and choosing suitable kernel function and parameters of kernel function to classify the matching areas and non-matching areas. At last, by using testing set, the classified effect was tested. Based on classified precision and the second errors, the parameters of kernel function were picked, and by using geodesic geomagnetic data, the classified results were tested again. The experimental results show that this method holds the capability of flexibility and jamming resistance, and can choice correct geomagnetism aided navigation matching areas.
分 类 号:TP206[自动化与计算机技术—检测技术与自动化装置]
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