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.

无线终端的本地化在过去几年中获得了动力。现在正在开发许多提供基于位置的服务的应用。Google地图、Find My iPhone、Virtual Reality Headsets和Pokémon Go是使用位置信息的应用程序的一些示例。当5G、物联网和智慧城市技术可用时，将开发各种新的应用。不幸的是，GPS服务在室内不可用，或者在被高层建筑阻挡的区域（如主要城市的市中心）非常不准确。应开发新技术，以补充全球定位系统，并提供无处不在的位置估计。