Real time performance evaluation of energy detection based spectrum sensing algorithm using WARP board

Abstract

This paper presents a real-time performance evaluation of Neyman-Pearson (NP) criteria based energy detection algorithm for spectrum sensing in cognitive radio. We have implemented the energy detection algorithm on a Wireless Open-Access Research Platform (WARP). The algorithm is validated using bursts of QPSK signal. Each burst has four frames with 1024 samples. For validation, in each burst, only one frame is occupied with the signal. We have compared the implementation results with algorithm simulation results. The experimental results reveal that the algorithm can detect signal up to SNR of -4dB, and -7dB in real time and simulation respectively with the probability of detection and probability of false alarm as 0.9 and 0.1 respectively. The detection time for performing the sensing operation in WARP board is evaluated as 4μSec.