Doctoral Dissertations

Abstract

"Locating and tracking assets in an indoor environment is a fundamental requirement for several applications which include for instance network enabled manufacturing. However, translating time of flight-based GPS technique for indoor solutions has proven very costly and inaccurate primarily due to the need for high resolution clocks and the non-availability of reliable line of sight condition between the transmitter and receiver. In this dissertation, localization and tracking of wireless devices using radio signal strength (RSS) measurements in an indoor environment is undertaken. This dissertation is presented in the form of five papers.

The first two papers deal with localization and placement of receivers using a range-based method where the Friis transmission equation is used to relate the variation of the power with radial distance separation between the transmitter and receiver. The third paper introduces the cross correlation based localization methodology. Additionally, this paper also presents localization of passive RFID tags operating at 13.56MHz frequency or less by measuring the cross-correlation in multipath noise from the backscattered signals. The fourth paper extends the cross-correlation based localization algorithm to wireless devices operating at 2.4GHz by exploiting shadow fading cross-correlation. The final paper explores the placement of receivers in the target environment to ensure certain level of localization accuracy under cross-correlation based method. The effectiveness of our localization methodology is demonstrated experimentally by using IEEE 802.15.4 radios operating in fading noise rich environment such as an indoor mall and in a laboratory facility of Missouri University of Science and Technology. Analytical performance guarantees are also included for these methods in the dissertation"--Abstract, leaf iv.

Advisor(s)

Sarangapani, Jagannathan, 1965-

Committee Member(s)

Madria, Sanjay Kumar
Zoughi, R.
Beetner, Daryl G.
Stanley, R. Joe
Salour, Al

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Computer Engineering

Publisher

Missouri University of Science and Technology

Publication Date

2012

Journal article titles appearing in thesis/dissertation

  • Enhancing localization accuracy in an RSSI Based RTLS using R-factor and diversity combination
  • Receiver placement using Delaunay refinement-based triangulation in an RSSI based localization
  • Localization of RFID tags using stochastic tunneling
  • Localization and tracking of objects using cross-correlation of shadow fading noise
  • Placement of receivers for shadow fading cross-correlation based localization

Pagination

xiii, 214 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2012 Mohammed Rana Basheer, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Radio -- Receivers and reception
Signal detection -- Computer simulation
Radio frequency identification systems

Thesis Number

T 10640

Print OCLC #

922570612

Electronic OCLC #

922570963

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