首页> 外文期刊>Concurrency, practice and experience >Impact of optimization algorithms on hybrid indoor positioning based on GSM and Wi-Fi signals
【24h】

Impact of optimization algorithms on hybrid indoor positioning based on GSM and Wi-Fi signals

机译:优化算法对基于GSM和Wi-Fi信号的混合室内定位的影响

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In the recent time indoor positioning becomes an extremely hot topic between researchers worldwide. This is mainly because of lack of available positioning solutions in the indoor environment and possibility to offer novel services based on location of users. Such services can also open new markets for service providers and thus increase their income. In this paper we will focus on application of optimization algorithms on performance of hybrid indoor positioning system, which utilize radio signals from both Global System for Mobile communication and Wi-Fi networks simultaneously. The system is based on fingerprinting framework, which is widely used for indoor positioning because of its performance in strong multipath environment. Tests of the optimization algorithms were performed via simulations that were performed using simulation model created in Matlab environment.
机译:在最近的时间里,室内定位已成为全球研究人员之间极为关注的话题。这主要是由于缺乏在室内环境中可用的定位解决方案以及基于用户位置提供新颖服务的可能性。此类服务还可以为服务提供商打开新的市场,从而增加他们的收入。在本文中,我们将重点放在优化算法在混合室内定位系统性能上的应用,该系统同时利用来自全球移动通信系统和Wi-Fi网络的无线电信号。该系统基于指纹识别框架,由于其在强多径环境中的性能而被广泛用于室内定位。通过使用在Matlab环境中创建的仿真模型执行的仿真对优化算法进行测试。

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