A propagation modeling approach to urban navigation

Zhuangzhuang Dai, Robert J. Watson, Peter R. Shepherd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The performance of GPS (Global Positioning System) in densely built urban areas is greatly undermined due to multipath propagation. Many attempt alternative means for urban navigation, of which the 'fingerprinting' method has drawn much attention recently. However, the labor of site surveys and a constantly changing environment prevents 'fingerprinting' from being an eificient solution. Therefore, we propose a propagation model which is used to obtain location fingerprints with the aid of modern computers thanks to their growing processing power. At the heart of the technique is the use of a ray-launching model from which a database is generated containing propagation parameters such as received signal strength, time of arrival and angle of arrival as a function of source and receiver location. These are then mapped with physical locations using an artificial neural network. Besides, a sequence based tracking tool is proposed to assist navigation with minimal communication required between mobile device and database. This paper details the generation of a database for real world geometries read from OpenStreetMap and the development of a localisation algorithm.

Original languageEnglish
Title of host publication11th European Conference on Antennas and Propagation, EUCAP 2017
PublisherIEEE
Pages1847-1851
Number of pages5
ISBN (Electronic)9788890701870
ISBN (Print)9781509037421
DOIs
Publication statusPublished - 15 May 2017
Event11th European Conference on Antennas and Propagation, EUCAP 2017 - Paris, France
Duration: 19 Mar 201724 Mar 2017

Conference

Conference11th European Conference on Antennas and Propagation, EUCAP 2017
CountryFrance
CityParis
Period19/03/1724/03/17

Fingerprint

navigation
Navigation
propagation
arrivals
Multipath propagation
Launching
Mobile devices
neural network
Global positioning system
labor
launching
Global Positioning System
urban area
recipient
mathematics
Personnel
Neural networks
rays
Geometry
receivers

Keywords

  • fingeprint
  • GNSS
  • propagation
  • ray-tracing

ASJC Scopus subject areas

  • Safety Research
  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Cite this

Dai, Z., Watson, R. J., & Shepherd, P. R. (2017). A propagation modeling approach to urban navigation. In 11th European Conference on Antennas and Propagation, EUCAP 2017 (pp. 1847-1851). [7928237] IEEE. https://doi.org/10.23919/EuCAP.2017.7928237

A propagation modeling approach to urban navigation. / Dai, Zhuangzhuang; Watson, Robert J.; Shepherd, Peter R.

11th European Conference on Antennas and Propagation, EUCAP 2017. IEEE, 2017. p. 1847-1851 7928237.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dai, Z, Watson, RJ & Shepherd, PR 2017, A propagation modeling approach to urban navigation. in 11th European Conference on Antennas and Propagation, EUCAP 2017., 7928237, IEEE, pp. 1847-1851, 11th European Conference on Antennas and Propagation, EUCAP 2017, Paris, France, 19/03/17. https://doi.org/10.23919/EuCAP.2017.7928237
Dai Z, Watson RJ, Shepherd PR. A propagation modeling approach to urban navigation. In 11th European Conference on Antennas and Propagation, EUCAP 2017. IEEE. 2017. p. 1847-1851. 7928237 https://doi.org/10.23919/EuCAP.2017.7928237
Dai, Zhuangzhuang ; Watson, Robert J. ; Shepherd, Peter R. / A propagation modeling approach to urban navigation. 11th European Conference on Antennas and Propagation, EUCAP 2017. IEEE, 2017. pp. 1847-1851
@inproceedings{81e80e8e0022443db23bd6a51c47489e,
title = "A propagation modeling approach to urban navigation",
abstract = "The performance of GPS (Global Positioning System) in densely built urban areas is greatly undermined due to multipath propagation. Many attempt alternative means for urban navigation, of which the 'fingerprinting' method has drawn much attention recently. However, the labor of site surveys and a constantly changing environment prevents 'fingerprinting' from being an eificient solution. Therefore, we propose a propagation model which is used to obtain location fingerprints with the aid of modern computers thanks to their growing processing power. At the heart of the technique is the use of a ray-launching model from which a database is generated containing propagation parameters such as received signal strength, time of arrival and angle of arrival as a function of source and receiver location. These are then mapped with physical locations using an artificial neural network. Besides, a sequence based tracking tool is proposed to assist navigation with minimal communication required between mobile device and database. This paper details the generation of a database for real world geometries read from OpenStreetMap and the development of a localisation algorithm.",
keywords = "fingeprint, GNSS, propagation, ray-tracing",
author = "Zhuangzhuang Dai and Watson, {Robert J.} and Shepherd, {Peter R.}",
year = "2017",
month = "5",
day = "15",
doi = "10.23919/EuCAP.2017.7928237",
language = "English",
isbn = "9781509037421",
pages = "1847--1851",
booktitle = "11th European Conference on Antennas and Propagation, EUCAP 2017",
publisher = "IEEE",
address = "USA United States",

}

TY - GEN

T1 - A propagation modeling approach to urban navigation

AU - Dai, Zhuangzhuang

AU - Watson, Robert J.

AU - Shepherd, Peter R.

PY - 2017/5/15

Y1 - 2017/5/15

N2 - The performance of GPS (Global Positioning System) in densely built urban areas is greatly undermined due to multipath propagation. Many attempt alternative means for urban navigation, of which the 'fingerprinting' method has drawn much attention recently. However, the labor of site surveys and a constantly changing environment prevents 'fingerprinting' from being an eificient solution. Therefore, we propose a propagation model which is used to obtain location fingerprints with the aid of modern computers thanks to their growing processing power. At the heart of the technique is the use of a ray-launching model from which a database is generated containing propagation parameters such as received signal strength, time of arrival and angle of arrival as a function of source and receiver location. These are then mapped with physical locations using an artificial neural network. Besides, a sequence based tracking tool is proposed to assist navigation with minimal communication required between mobile device and database. This paper details the generation of a database for real world geometries read from OpenStreetMap and the development of a localisation algorithm.

AB - The performance of GPS (Global Positioning System) in densely built urban areas is greatly undermined due to multipath propagation. Many attempt alternative means for urban navigation, of which the 'fingerprinting' method has drawn much attention recently. However, the labor of site surveys and a constantly changing environment prevents 'fingerprinting' from being an eificient solution. Therefore, we propose a propagation model which is used to obtain location fingerprints with the aid of modern computers thanks to their growing processing power. At the heart of the technique is the use of a ray-launching model from which a database is generated containing propagation parameters such as received signal strength, time of arrival and angle of arrival as a function of source and receiver location. These are then mapped with physical locations using an artificial neural network. Besides, a sequence based tracking tool is proposed to assist navigation with minimal communication required between mobile device and database. This paper details the generation of a database for real world geometries read from OpenStreetMap and the development of a localisation algorithm.

KW - fingeprint

KW - GNSS

KW - propagation

KW - ray-tracing

UR - http://www.scopus.com/inward/record.url?scp=85020208702&partnerID=8YFLogxK

UR - http://dx.doi.org/10.23919/EuCAP.2017.7928237

U2 - 10.23919/EuCAP.2017.7928237

DO - 10.23919/EuCAP.2017.7928237

M3 - Conference contribution

SN - 9781509037421

SP - 1847

EP - 1851

BT - 11th European Conference on Antennas and Propagation, EUCAP 2017

PB - IEEE

ER -