Spectrum Sensing for Cognitive Radio using Hilbert- Huang Transform Average Ratio Detector

Cognitive Radio (CR) is an unprecedented concept in wireless communication and it is a technical solution to perfect utilization of spectrum. CR sense the presence of licensed primary users through measuring parameters related to channel characteristics. The power spectrum gives vital information with regard to the presence of a user at every frequency. In this paper we analyzed different spectrum sensing techniques like energy detection, Fast Fourier Transform Averaging Ratio (FAR) whose performance is low in non-stationary environment. In this paper we proposed Hilbert Huang Transform detector (HHT) to detect presence of primary user. In practical scenario, non-stationary and nonlinear processes can be efficiently detected by this HHT. It is evident from the results that the HHT transform average ratio detector outperformed the FFT average ratio detection.