Doctoral Dissertations

Vivek Thotla

Keywords and Phrases

Detection; Identification; Localization; R/C devices

Abstract

"The accurate and reliable detection of unintended emissions from radio receivers has a broad range of commercial and security applications. This thesis presents detection, identification, and localization methods for multiple RC electronic devices in a realistic environment. First, a Hurst parameter based detection method for super-regenerative receivers (SRR) has been used for detection. Hurst parameter based detection method exploits a self-similarity property of the SRR receiver emissions to distinguish it from background noise. Second paper presents a novel detection and localization scheme of multiple RC electronic devices called Edge-Synthetic Aperture Radar (Edge-SAR). It employs cost-effective, mobile antenna-array detectors. Two types of RC devices are considered: SRR with H parameter method and super heterodyne receivers (SHR) with peak detection method. Third paper improves detection of multiple devices by proposing a dynamic antenna-array processing method called VIVEK-MVDR-GA. It combines multi-constrained genetic algorithm (GA) and minimum variance distortion-less response (MVDR) method to increase accuracy of detection and localization of multiple devices. Finally, a 4-element array mounted on an unmanned aerial vehicle (UAV) is proposed to overcome multipath and reflection due to environmental surroundings and improve the response time in compromised scenarios. Also, a time based correlation method is proposed for array detectors to identify the line of sight (LOS) and non-line of sight (N-LOS) signals. A normalized error correlation function has been implemented to improve the estimation of angle of arrival (AOA) in the presence of strong non-line of sight (N-LOS) signals"--Abstract, page iv.

Advisor(s)

Zawodniok, Maciej Jan, 1975-

Committee Member(s)

Sarangapani, Jagannathan, 1965-
Ghasr, Mohammad Tayeb Ahmad, 1980-
Grant, Steven L.
Chellappan, Sriram

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

2015

Journal article titles appearing in thesis/dissertation

  • Detection of super-regenerative receivers using hurst parameter
  • Detection and localization of multiple R/C electronic devices using array detectors
  • Detection of multiple R/C devices using MVDR and genetic algorithms
  • UAV based detection of R/C devices

Pagination

xiii, 138 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2015 Vivek Thotla, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11152

Electronic OCLC #

1003210341

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