Detection of an LTE signal based on constant false alarm rate methods and Constant Amplitude Zero Autocorrelation sequence

In order to detect the presence of primary user (PU) signal, spectrum sensing is a fundamental requirement to achieve the cognitive radio (CR) goals. This ensures the efficient utilization of the spectrum. There are many methods for signal detection such as cyclostationary detection, cyclic prefix detection, energy detection, and detection based on fractional Fourier transform (FrFT). The aim of this paper is to propose a novel method for detection of long term evolution (LTE) signal. In this method, Constant Amplitude Zero Autocorrelation (CAZAC) sequence, as a polyphase code, is chosen for the detection of the LTE signal because of its good periodic correlation properties. We will show constant false alarm rate (CFAR) properties that can be used for the reduction of noise power effect to determine a detection threshold. Finally, the proposed method is compared to three other methods and simulation results show that the performance is acceptable.