摘要
最近邻居算法是室内定位的常用算法,该算法简单但是边缘区域定位误差较大使得整个算法性能不高。文中在此算法的基础上引入三边测量法,提出一种适用于无源UHF RFID系统的室内定位混合算法,以期改善该问题。从仿真结果可知:当标签位于边缘区域时,使用最近邻居算法和三边测量法对该标签进行定位的误差都较高,分别为1 m和0.6 m左右;而采用文中所提混合算法时,定位误差不超过0.3 m。结果表明,文中所提算法在边缘区域的定位误差明显小于最近邻居算法和三边测量法,提高了定位精度。
The k-nearest neighbor algorithm is commonly used in indoor location. It is simple but has large location error in the edge re-gion which degrades the entire algorithm’ s performance. In this paper,an indoor location hybrid algorithm applying for passive UHF RFID location system is mentioned by introducing the triangulation algorithm,in order to improve the issue. Simulation result proves that when the tag located on the edge of the area,the k-nearest neighbor algorithm and triangulation algorithm have high positioning errors, respectively about 1 m and 0. 6 m,while the hybrid algorithm’s location error is less than 0. 3 m. It means that the hybrid algorithm’s lo-cation error in the edge region is significantly smaller than the two mentioned algorithm,improving the positioning accuracy.
出处
《计算机技术与发展》
2015年第6期110-113,共4页
Computer Technology and Development
基金
国家自然科学基金青年科学基金项目(61302155)
