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Proceedings Paper

Detection and localization of R/C electronic devices using Hurst parameter
Author(s): Vivek Thotla; Mohammad Tayeb Ahmad Ghasr; Maciej Zawodniok; S. Jagannathan; Sanjeev Agarwal
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Paper Abstract

Traditional approach of locating devices relies on "tagging" with a special tracking device, for example GPS receiver. This process of tagging is often impractical and costly since additional devices may be necessary. Conversely, in many applications it is desired to track electronic devices, which already emit unintentional, passive radio frequency (RF) signals. These emissions can be used to detect and locate such electronic devices. Existing schemes often rely on a priori knowledge of the parameters of RF emission, e.g. frequency profile, and work reliably only on short distances. In contrast, the proposed methodology aims at detecting the inherent self-similarity of the emitted RF signal by using Hurst parameter, which (1) allows detection of unknown (not-pre-profiled) devices, (2) extends the detection range over signal strength (peak-detection) methods, and (3) increases probability of detection over the traditional approaches. Moreover, the distance to the device is estimated based on the Hurst parameter and passive RF signal measurements such that the detected device can be located. Theoretical and experimental studies demonstrate improved performance of the proposed methodology over existing ones, for instance the basic received signal strength (RSS) indicator scheme. The proposed approach increases the detection range by 70%, the probability of detection by 60%, and improves the range estimation and localization accuracy by 70%.

Paper Details

Date Published: 22 June 2012
PDF: 10 pages
Proc. SPIE 8359, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI, 835915 (22 June 2012); doi: 10.1117/12.919375
Show Author Affiliations
Vivek Thotla, Missouri Univ. of Science and Technology (United States)
Mohammad Tayeb Ahmad Ghasr, Missouri Univ. of Science and Technology (United States)
Maciej Zawodniok, Missouri Univ. of Science and Technology (United States)
S. Jagannathan, Missouri Univ. of Science and Technology (United States)
Sanjeev Agarwal, Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 8359:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI
Edward M. Carapezza, Editor(s)

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