Keywords and Phrases
Detection; Identification; Localization; R/C devices
"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.
Zawodniok, Maciej Jan, 1975-
Sarangapani, Jagannathan, 1965-
Ghasr, Mohammad Tayeb Ahmad, 1980-
Grant, Steven L.
Electrical and Computer Engineering
Ph. D. in Electrical Engineering
Missouri University of Science and Technology
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
xiii, 138 pages
© 2015 Vivek Thotla, All rights reserved.
Dissertation - Open Access
Electronic OCLC #
Thotla, Vivek, "Detection, identification and localization of R/C electronic devices through their unintended emissions" (2015). Doctoral Dissertations. 2604.