Localization of Wireless Terminals via Deep Learning

通过深度学习定位无线终端

• 批准号: RGPIN-2017-06625
• 负责人: Valaee, Shahrokh
• 金额: $ 2.04万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637475
• 关键词: Localization; Wireless; Terminals; via; Deep

Localization of wireless terminals has gained momentum over the last few years. Many applications are now being developed that provide location based services. Google map, Find My iPhone, Virtual Reality Headsets, and Pokémon Go are some examples of applications that use location information. Various new applications will be developed when 5G, Internet-of-Things, and Smart Cities technologies become available. Unfortunately, the GPS service is not available in indoors, or is very inaccurate in areas blocked by tall buildings such as downtown cores in major cities. New technologies should be developed to complement GPS and provide location estimation ubiquitously.

在过去的几年里，无线终端的本地化势头有所增强。现在正在开发许多提供基于位置的服务的应用程序。谷歌地图、Find My iPhone、虚拟现实耳机和口袋妖怪Go都是使用位置信息的一些应用程序。当5G、物联网和智慧城市技术出现时，各种新的应用将被开发出来。不幸的是，GPS服务不能在室内使用，或者在被高楼阻挡的区域非常不准确，比如大城市的市中心。应该开发新的技术来补充GPS并提供无处不在的位置估计。