混合蒙特卡罗箱传感器定位方法的研究  

Research on mixture Monte-Carlo box method for mobile sensor localization

作　　者：仉俊峰[1,2] 王霓虹[1] 周彤[2,3] 

机构地区：[1]东北林业大学,黑龙江哈尔滨150040 [2]哈尔滨理工大学,黑龙江哈尔滨150080 [3]黑龙江省计量科学研究院,黑龙江哈尔滨150036

出　　处：《传感器与微系统》2009年第6期63-65,共3页Transducer and Microsystem Technologies

摘　　要：为了提高传感器节点自定位精度,满足不同网络规模应用的需要,对传统蒙特卡罗方法进行了改进,提出了一种新的自定位方法,解决了采样速度慢的应用限制。对于采样速度,采用混合采样箱方法提高采样成功率。仿真实验结果表明:此算法提高了定位精度,具有自适应性和实用性。An improved sensor nodes self-localization method is proposed for improving the estimation of nodes and satisfying the need of varied network size. The Monte-Carlo method is modified to solve slow sampling speed. The mixture Monte-Carlo box method is adopted to increase valid sampling rate. The simulation results show that the method can improve the accuracy of nodes localization. This method is self-adaptive and practical.

关 键 词：移动传感器 混合采样箱 蒙特卡罗 定位 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]