基于自适应分类的井下移动节点无线定位算法
Underground Mobile Node Wireless Locating Algorithm Based on Adaptive Classification
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摘要: 针对井下移动节点无线定位算法,在能量计算定位算法的基础上，设计了一种自适应分类选择的3点定位算法。算法将任意单点位置采集的N个点中能量距离信息通过排序的方法分类，将相似类中具有特征性强的保留并自适应选择3个特征强的位置点，再通过3个信标点定位算法获取目标点的准确位置。仿真计算了最小响应功率与路径损耗系数这2个重要参数对能量计算的影响。对不同环境下3个未知目标节点进行定位测试，测距结果显示随着距离的增大，测距精度降低，但在100 m范围内测距误差均低于4%。经3点定位算法分析计算后，被测目标的坐标与真实目标位置误差小于1.0 m。Abstract: In view of the underground wireless mobile node localization algorithm, on the basis of energy calculation localization algorithm, three-point localization is designed based on adaptive classification. Algorithm will classify energy distance information of N points collected from any single point by using the method of sorting. Strong characteristic data have been retained in a similar class, and three location points with strong features were adaptively selected. Finally, the exact position of the target is calculated by three letters punctuation localization algorithm. We simulated the effect of these two important parameters of minimum response power and path loss coefficient on energy calculation, and carried out locating test for three unknown target nodes under different environment. Ranging results show that the accuracy is reduced with the increase of distance ranging. Ranging error is less than 4% within 100 m range. After three-point localization algorithm analysis and calculation, the error of the measured target coordinate and the real target position is less than 1 m.
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