DSpace
 
  Repositório Institucional da Universidade de Aveiro > Departamento de Electrónica, Telecomunicações e Informática > DETI - Comunicações >
 A reverse GPS architecture for tracking and location of small objects
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5145

title: A reverse GPS architecture for tracking and location of small objects
authors: Andrade, T.
Alves, L. N.
Cupido, L.
Santos, D.
keywords: Correlation
GPS
Location
Spread-spectrum
Tracking
Coding techniques
Low signal-to-noise ratio
Novel architecture
Proposed architectures
Received signals
Signal recovery
Small objects
Spread spectra
Spread spectrum systems
Signal to noise ratio
Architecture
issue date: 2011
publisher: Institute of Electrical and Electronics Engineers
abstract: A novel architecture for the location and tracking of small objects using a GPS-like architecture is described. Unlike the conventional GPS system, the proposed architecture places the emitters at the objects to be tracked and the receivers at fixed (earth) stations, so that the emitters can be made very simple and most of the intelligence of the system is located at the receivers. Due to the very low signal-to-noise ratio of the received signals, signal recovery techniques based on correlation and codification, similar to the ones used in spread-spectrum systems, are used in this architecture. The expected noise budget and coding techniques to be used are discussed. © 2011 IEEE.
URI: http://hdl.handle.net/10773/5145
ISBN: 978-1-4577-0186-3
publisher version/DOI: http://dx.doi.org/10.1109/ICL-GNSS.2011.5955273
source: ICL-GNSS 2011: International Conference on Localization and GNSS
appears in collectionsDETI - Comunicações

files in this item

file description sizeformat
PID1875329.pdfDocumento final266.02 kBAdobe PDFview/open
Restrict Access. You can Request a copy!
statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2