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PDFOpen Access (License Unspecified), Open Access
Thesis
Detecting a sequential signal signature in the radio frequency spectrum
Master of Science (M.S.), Drexel University
Jan 2012
DOI:
https://doi.org/10.17918/etd-3897
Abstract
We outline algorithms and methods that are useful in identifying and detecting the presence of a particular signal of interest in a noisy Radio Frequency (RF) environment. We define a signal of interest as having particular RF features (e.g., frequency or bandwidth) dictated by the equipment and the standard used to generate the signal. We formulate the concept of a target RF communication sequence signature which defines a specific sequence of communication signals, then use this concept to explore methods of detecting sequences of signals of interest. We present a review of features that would be useful in performing signal classification, and outline a methodology for extracting a particular feature (DTMF audio) from a signal. This methodology is useful in performing feature extraction for other similar features. Finally, we demonstrate that the Profile Hidden Markov Model method would be capable of handling the classification requirements of the studied scenario.
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Details
- Title
- Detecting a sequential signal signature in the radio frequency spectrum
- Creators
- Christopher S. Lester - DU
- Contributors
- Moshe Kam (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Electrical (and Computer) Engineering [Historical]; Drexel University
- Other Identifier
- 3897; 991014632445204721