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Spectrum Sensing is elementary function in Cognitive Radio Networks (CRN) to identify the white spaces in spectrum for opportunistic communication. In this paper, we proposed a novel two stage spectrum sensing under the environment as noise uncertainty. The robustness of uncertainty of noise power is one of the main challenges in spectrum sensing method. Since detection of primary users (PU) in the presence of noise power uncertainty, performance of spectrum sensing method consequently decreases. The proposed detection technique combine two well-known different detection method are Energy Detection (ED) and Akaike's information criteria (AIC) to perform spectrum sensing. At first stage, ED technique is use to find power average of received signal and second stage is AIC detection technique based on the information theoretic criteria (ITC). Study of spectrum sensing method, the ED technique …