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Advanced Localization Technology and RF Propagation Models for Emergency Radio Communication Enhancement System (ERCES)

Advanced Localization Technology and RF Propagation Models for Emergency Radio Communication Enhancement System (ERCES)
用于紧急无线电通信增强系统(ERCES)的先进定位技术和射频传播模型
批准号:
558257-2020
负责人:
Zhang, XiaoPing
金额:
$2.58万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

项目摘要

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中文摘要
翻译
紧急无线电通信增强系统(ERCES)为手持通信设备的急救人员提供建筑物内的全面无线电通信接入。ERCES是一种基本的生命安全通信工具,使急救人员能够在紧急情况下在建筑物内和周围进行通信。它可以大致分为:ARC(辅助无线电通信)系统和BDA(双向放大器)系统。Mircom-Ryerson合作伙伴关系的总体目标是推进建筑物内天线和传感器分布的本地化技术和射频(RF)传播模型,以提供通信的射频覆盖。建议的本地化技术和射频传播模型代表了一种新方法,除了推动网络和物联网(IoT)信号处理领域的发展外,预计还将产生新的技术诀窍,这些技术诀窍将成为Mircom的专利。所获得的成果和技术知识将解决ERCES的本地化技术或射频传播模型面临的当前挑战。该项目的成果将由Mircom纳入,并将其带入ERCES的下一个开发阶段。
英文摘要
Emergency Radio Communication Enhancement System (ERCES) provides full radio communication access inside a building to first responders for their handheld communication devices. ERCES is an essential life safety communications tool enabling first responders to communicate in and around buildings during an emergency. It can be broadly categorized as: ARC (Auxiliary Radio Communication) System and BDA (Bi-directional Amplifier) System. The overall goals of the Mircom-Ryerson partnership are to advance localization technique and radio frequency (RF) propagation models for the distribution of antennae and sensors in buildings to provide RF coverage for communications. The proposed localization techniques and RF propagation models represents a novel method that is expected to generate new technical know-how that will become proprietary to Mircom, in addition to advancing the field in signal processing in networks and Internet of things (IoT). The outcomes and technical knowledge gained will address current challenges with localization technique or RF propagation models for ERCES. The outcomes of the project will be incorporated by Mircom and take them to the next stage of development of ERCES.
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Statistical Signal Processing and Learning on Networks and Graphs
  • 批准号:
    RGPIN-2020-04661
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Zhang, XiaoPing
  • 依托单位:
Statistical Signal Processing and Learning on Networks and Graphs
  • 批准号:
    RGPAS-2020-00106
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2022
  • 负责人:
    Zhang, XiaoPing
  • 依托单位:
Statistical Signal Processing and Learning on Networks and Graphs
  • 批准号:
    RGPAS-2020-00106
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2021
  • 负责人:
    Zhang, XiaoPing
  • 依托单位:
Statistical Signal Processing and Learning on Networks and Graphs
  • 批准号:
    RGPIN-2020-04661
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    Zhang, XiaoPing
  • 依托单位:
海外基金