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. / Office of Naval Research grant N00014-12-1-0062 and contract N00014-12-C-0702 / Master of Science

The aim of this thesis is a software modelling and hardware implementation of spectral sensing algorithm based on cyclostationary based detection. A proposed detector is fully implemented in FPGA and further tested under measurements in real RF environment.