Quantized Cooperative Spectrum Sensing Using Autocorrelation Matrix

To improve the spectrum detection performance in cognitive radio(CR),a quantized cooperative spectrum sensing method is proposed based on autocorrelation matrix. The local detection results of CR users are quantized with limited bits using multi-threshold and then the quantized information is sent to the fusion center synchronously for final decision with the weighted voted rule. The method is blind without any a priori information of the signal and noise power. A 2 bit quantized cooperative spectrum sensing scheme is discussed. Theoretic analysis and computer simulation show that the proposed scheme can achieve a good tradeoff between detection performance and system complexity compared with the conventional cooperative spectrum sensing scheme.