Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments

Spectral coexistence and cooperative spectrum sharing techniques are vital to the continued development and proliferation of wireless communications systems. Government directives indicate that certain frequency bands which once were reserved for radar-only applications must now support wireless broadband systems. The effect of co-site interference upon detection techniques for wireless broadband systems is evaluated. Cyclostationary feature based detection methods are evaluated against gaussian noise and interfering radar signals. Alternative decision algorithms utilizing support vector machines are proposed and evaluated and compared against traditional general likelihood ratio test algorithms. Recommendations for certain algorithms and observation window lengths to maximize e ectiveness and minimize computational complexity are developed.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Department dc:contributor.department

Electrical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2013

Author dc:creator

• Davis, Joseph M.

Chair dc:contributor.committeechair

• McGwier, Robert W.

Committee members dc:contributor.committeemember

• Clancy, Thomas Charles III
• Dietrich, Carl B.

• WiMAX
• OFDM
• Cyclostationary Detection
• SVM

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/10919/47105

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/47105