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Development of a model and localization algorithm for received signal strength-based geolocation.

机译：为基于接收信号强度的地理位置开发模型和定位算法。

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摘要

Location-Based Services (LBS), also called geolocation, have become increasingly popular in the past decades. They have several uses ranging from assisting emergency personnel, military reconnaissance and applications in social media. In geolocation a group of sensors estimate the location of transmitters using position and Radio Frequency (RF) information. A review of the literature revealed that a majority of the Received Signal Strength (RSS) techniques used made erroneous assumptions about the distribution or ignored effects of multiple transmitters, noise and multiple antennas. Further, the corresponding algorithms are often mathematically complex and computationally expensive. To address the issues this dissertation focused on RSS models which account for external factors effects and algorithms that are more efficient and accurate.;The models of RSS that were developed in this research include a multiple transmitter model, a multiple antenna model and several models using Differential Received Signal Strength (DRSS). A DRSS model produced results that were 80% more accurate when compared with a traditional path-loss RSS model for localization of multiple transmitters.;The principal contributions of this research to the community include new models for RSS and two novel algorithms used to localize RSS measurements. These contributions also included development of DRSS models and algorithms that have not previously been seen in the literature.
机译：过去几十年来，基于位置的服务（LBS）也称为地理定位。它们有多种用途，从协助紧急人员，军事侦察到在社交媒体中的应用。在地理定位中，一组传感器使用位置和射频（RF）信息估计发射机的位置。对文献的回顾表明，使用的大多数接收信号强度（RSS）技术都对多个发射器，噪声和多个天线的分布或忽略的影响做出了错误的假设。此外，相应的算法通常在数学上是复杂的并且在计算上是昂贵的。为了解决这些问题，本论文集中于考虑外部因素影响的RSS模型和更有效，更准确的算法。本研究开发的RSS模型包括多发射器模型，多天线模型和几种使用该模型的模型。差分接收信号强度（DRSS）。与用于多个发射机定位的传统路径损耗RSS模型相比，DRSS模型产生的结果精度提高了80％;该研究对社区的主要贡献包括RSS的新模型和用于定位RSS的两种新颖算法测量。这些贡献还包括DRSS模型和算法的开发，这在文献中是以前所没有的。

著录项

  • 作者

    King, Amanda Sue.;

  • 作者单位

    Air Force Institute of Technology.;

  • 授予单位 Air Force Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.;Statistics.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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