Abstract
Performance of energy detector is affected by many factors, such as fading, shadowing, malicious user attack, etc. Those things potentially decreases the performance of primary signal detection. This paper studies OFDM based signal detection in cognitive radio systems. This work uses two difference input signal. The used two signals are PSK (Phase-Shift Keying) modulated signal with distributed Gaussian noise and QAM (Quadrature Amplitude Modulation) modulated OFDM (Orthogonal Frequency-Division Multiplexing) as an input signal in cognitive radio system. Comparison of these two signal focuses on receiver operating curve (ROC) that is represented by probability of detection (P d ) as a function of probability of false alarm (P f ). Initially, PSK modulated with distributed Gaussian noise is used as an input signal. Then, we replace the input signal with OFDM signal. Comparison is further analyzed by changing period of sensing time. Through numerical simulation, input signal based on OFDM reveals better performance compared with distributed Gaussian signal. Furthermore, from simulation shows that performing sensing with longer time is able to improve the performance of energy detector.
Published Version
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