Robust Adaptive Beamforming for Cyclostationary Signals in Spectrum Detection of Cognitive Radios

This paper presents the robust adaptive digital beamforming algorithm used in cognitive radios spectrum detection scheme, which is based on worst-case performance optimization criterion for processing the cyclostationary signals. The algorithm theory and its implementation steps are discussed. By simulated results show that this algorithm provides efficient solutions to the robustness problems including the array response mismatch and data nonstationarity problems.