...
首页> 外文期刊>Optical engineering >Indoor high-precision three-dimensional positioning algorithm based on visible light communication and fingerprinting using K-means and random forest
【24h】

Indoor high-precision three-dimensional positioning algorithm based on visible light communication and fingerprinting using K-means and random forest

机译:基于K均值和随机森林的基于可见光通信和指纹识别的室内高精度三维定位算法

获取原文
获取原文并翻译 | 示例
           

摘要

Recently, visible light communication (VLC) has been widely used in indoor positioning. Considering that conventional VLC-based positioning (VLP) algorithms are susceptible to interference and cannot adapt well to the complex indoor location environment, we propose a high-precision indoor three-dimensional positioning algorithm based on VLC and fingerprinting using fusion of K-means and random forest algorithms. Unlike the trilateration techniques based on received signal strength, the mentioned system does not depend on the model parameters and is robust to external interference. Besides, the proposed system introduces the concept of VLP kernel to compress the fingerprint database and shorten the training time. And we have validated the feasibility of our proposed VLC-based positioning system using fingerprinting in the real indoor VLP environment. Both simulation and experiment results verify that our proposed algorithm delivers satisfactory performance in terms of real-time ability and positioning accuracy, both of which are crucial for the performance of an indoor positioning system. Therefore, our proposed positioning system with strong interference immunity is a promising Candidate for future indoor positioning applications.
机译:近来,可见光通信(VLC)已被广泛用于室内定位。考虑到传统的基于VLC的定位(VLP)算法易受干扰并且无法很好地适应复杂的室内定位环境,我们提出了一种基于VLC和K-means融合和指纹识别的高精度室内三维定位算法。随机森林算法。与基于接收信号强度的三边测量技术不同,上述系统不依赖于模型参数,并且对外部干扰具有鲁棒性。此外,该系统引入了VLP内核的概念来压缩指纹数据库并缩短训练时间。并且我们已经验证了我们提出的基于VLC的定位系统在真实室内VLP环境中使用指纹识别的可行性。仿真和实验结果均验证了我们提出的算法在实时能力和定位精度方面均具有令人满意的性能,这两者对于室内定位系统的性能至关重要。因此,我们提出的具有强抗干扰性的定位系统是未来室内定位应用的有希望的候选人。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号