计算机科学 ›› 2014, Vol. 41 ›› Issue (11): 178-181.doi: 10.11896/j.issn.1002-137X.2014.11.035
蔡朝晖,夏溪,胡波,范丹玫
CAI Zhao-hui,XIA Xi,HU Bo and FAN Dan-mei
摘要： 由于人们对基于位置服务的需求越来越高,室内定位技术在诸多领域得到了广泛的应用,而定位算法则是室内定位研究的重点。首先介绍了最近邻和KNN两种信号强度指纹定位算法,并说明了KNN信号强度指纹算法的不足。在KNN信号强度指纹定位算法的基础上,提出了改进的基于区域划分的定位算法。在定位阶段,首先对接收信号强度进行补偿和滤波处理,以降低各种外在因素对定位精度的影响；同时对定位区域进行划分,选择主参考节点,并基于加权的最近邻匹配来选择最近的信号强度指纹；最后对定位结果进行计算并验证。仿真实验表明,改进的区域划分算法相对于传统的KNN算法,定位精度提高了22.2%,达到2.1m,证明了改进算法的可行性。
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