Polarization Based Spectrum Sensing for Cognitive Radios in Presence of Arrival Angle

Due to the presence of arrival angle, which can reduce the received energy of primary signal and then degrade the performance of polarization detectors, we propose polarization information based spectrum sensing methods considering arrival angle in this paper. Using the generalized likelihood ratio test (GLRT) paradigm, we derive two algorithms with different statistical prior information and finally propose a blind Polarization and Arrival angle Eigenvalue Detection (PAED), which is the optimal polarization algorithm in the presence of arrival angle. Our results show that the proposed PAED method exhibits better performance than other existing techniques, particularly when the number of samples is small, which is critical in vehicular applications.