Identification and classification of OFDM based signals using preamble correlation and cyclostationary feature extraction

Download
Author
Schnur, Steven R.
Date
2009-09Advisor
Tummala, Murali
McEachen, John
Metadata
Show full item recordAbstract
In this thesis, a scheme for the identification and classification of orthogonal frequency division multiplexing based signals is proposed. Specifically, the cyclostationary signature of IEEE 802.11 and IEEE 802.16 standard compliant waveforms is investigated. A model is introduced that identifies the waveform; in the case of IEEE 802.11, confirms identification decision via cyclostationary feature extraction. If the waveform is identified as being IEEE 802.16 compliant, the scheme will classify the cyclic prefix size of the waveform. After cyclic prefix classification, the 802.16 waveform will be subjected to cyclostationary feature extraction for identification confirmation. The cyclostationary signature of each waveform is generated via a computationally efficient algorithm called the fast Fourier transform accumulation method, which produces an estimate of the waveform's spectral correlation density function. Simulation results based on MATLAB implementation are presented.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Identification and Classification of Orthogonal Frequency Division Multiple Access (OFDMA) Signals used in next generation wireless systems
Gray, Ryan M. (Monterey, California. Naval Postgraduate School, 2012-03);This thesis explores identification and classification of Orthogonal Frequency Division Multiple Access based signals and proposes a scheme to achieve this goal. Specifically, the cyclostationary pilot signature of an IEEE ... -
Integrated range-Doppler map and extended target classification with adaptive waveform for cognitive radar
Nieh, Jo-Yen (Monterey, California: Naval Postgraduate School, 2014-12);We set out to design an extended target classification scheme while determining the target’s range-and-Doppler location with the use of adaptive waveform for a closed-loop cognitive radar platform. To that end, this work ... -
Transmit Energy Efficiency of Two Cognitive Radar Platforms for Target Identification
Romero, Ric; Mourtzakis, Emmanouil (2015-06-26);Cognitive radar (CRr) is a recent radar paradigm that can potentially help drive aerospace innovation forward. Two specific platforms of cognitive radar used for target identification are discussed. One uses sequential ...