Polarized Antenna Aided Spectrum Sensing Based on Stochastic Resonance

Wireless communications is one of the most rapidly developing segments of the telecommunications industry. A large amount of intelligent terminal occupying the spectrum results in the reduction of radio spectrum resources. Cognitive radio is considered to be the most effective approach to solve this problem, which required rapid and exact spectrum sensing. This paper proposes a novel polarized antenna method based on likelihood ratio test and stochastic resonance. In the condition of adiabatic approximation, the stochastic resonance can increase signal to noise ratio, and adequately transfer the energy of noise to original signal. The proposed method applies the stochastic resonance to each polarized component. The experiments show that the proposed spectrum sensing method is suitable for generalized likelihood ratio test in additional white Gussion noise and lower signal to noise ratio, rather than polarized channel matrix and idealistic likelihood ratio test.