基于混合APIT的可见光室内定位算法
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摘要
传统的APIT算法对未知节点是否在三角形内易出现误判现象,导致算法定位精度低。本文提出一种基于混合APIT的可见光室内定位算法,该算法利用三角形的面积关系判断未知节点的初始位置,然后利用内切圆进一步缩小了未知节点可能所在的区域,并利用混合质心定位算法,得出未知节点的估计位置。该算法减少了传统的APIT算法误判的现象,提高了定位精度。仿真结果表明,该定位算法与传统的APIT定位算法相比,定位误差低。
It is so prone to misjudge whether the unknown nodes are in the triangle that the location error of the traditional APIT algorithm is low. In the paper,it proposes an indoor location algorithm of visible light based on mixed APIT. It uses triangle area relation to judge the initial location of unknown nodes,and then uses internal tangential circle to further reduce the area where unknown nodes may be located. Finally,the estimation position of unknown nodes is obtained by using the mixed centroid positioning algorithm. The algorithm reduces the misjudgments of the traditional APIT algorithm and improves the positioning accuracy. The simulation results show that the localization error of the indoor location algorithm based on mixed APIT is lower compared with the traditional APIT localization algorithm.
It is so prone to misjudge whether the unknown nodes are in the triangle that the location error of the traditional APIT algorithm is low. In the paper,it proposes an indoor location algorithm of visible light based on mixed APIT. It uses triangle area relation to judge the initial location of unknown nodes,and then uses internal tangential circle to further reduce the area where unknown nodes may be located. Finally,the estimation position of unknown nodes is obtained by using the mixed centroid positioning algorithm. The algorithm reduces the misjudgments of the traditional APIT algorithm and improves the positioning accuracy. The simulation results show that the localization error of the indoor location algorithm based on mixed APIT is lower compared with the traditional APIT localization algorithm.
引文
[1]杨雪,王辉.无线传感器网络区域混合感知的APIT定位算法[J].电子技术应用,2012,38(3):113-116.
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[3] JAIN S,SINGH A,KAUR A,et al. Improved APIT localization algorithm in wireless sensor networks[C]. International Conference on Signal Processing,Computing and Control. 2017:77-81.
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[5]汤文亮,蔡静,周琳颖,等.基于联合分步APIT定位算法的改进[J].计算机测量与控制,2016(12):213-215.
[6]林志贵,刘颖,刘英平,等.融合多跳机制的三维加权APIT定位算法[J].控制工程,2016,23(4x):544-549.
[7]周四清,陈锐标.无线传感器网络APIT定位算法及其改进[J].计算机工程,2009,35(7):87-89.
[2]陈月娥.无线传感器网络中APIT--VP节点三维定位算法研究[D].南昌:江西师范大学,2014.
[3] JAIN S,SINGH A,KAUR A,et al. Improved APIT localization algorithm in wireless sensor networks[C]. International Conference on Signal Processing,Computing and Control. 2017:77-81.
[4] YANG G X,JING B. Localization Algorithm for Wireless Sensor Network Based on Energy Threshold[C]. International Conference on Information Technology,Computer Engineering and Management Sciences. IEEE,2011:193-197.
[5]汤文亮,蔡静,周琳颖,等.基于联合分步APIT定位算法的改进[J].计算机测量与控制,2016(12):213-215.
[6]林志贵,刘颖,刘英平,等.融合多跳机制的三维加权APIT定位算法[J].控制工程,2016,23(4x):544-549.
[7]周四清,陈锐标.无线传感器网络APIT定位算法及其改进[J].计算机工程,2009,35(7):87-89.