Performance of the Recursive One-Sided Hypothesis Testing Technique under varying Signal to Noise Ratio Conditions in Cognitive Radio

Abstract

The Recursive one‐sided hypothesis testing technique (ROHT) is one notable example of an Adaptive threshold estimation technique (ATT) for energy detection in Cognitive Radio (CR). It is known to compute accurate threshold values based on the proper choice of its parameter values, namely the coefficient of standard deviation and the stopping criteria. However, determining the performance limits of the ROHT algorithm with regards to its minimum Signal to Noise Ratio (SNR) level remains an unexplored exercise in the literature. Thus, in this paper, a preliminary study of the ROHT algorithm is carried out to examine the effect of varying SNR conditions on the performance limit of the algorithm. The algorithm was evaluated using signals varied from SNR = 10 dB down to 1 dB. It is shown that below the SNR = 3dB margin, the performance of the ROHT may no longer be guaranteed for effective detection performance. Hence the need to improve the performance of the ROHT algorithm for use in CR, using adaptive optimization technique. Keywords