RETRACTED ARTICLE: Peak detection based energy detection of a spectrum under rayleigh fading noise environment

Abstract

Spectrum is a resource inadequate and future licensed spectrum will only be used by spectrum holders. Reuse of licensed spectrum into unlicensed technique is Cognitive radios fresh approach. No previous data is crucial in relation to the uniqueness of the main user signal as energy detection is most commonly used spectrum sensing methods. But this energy detection calculation and assuming the presence of primary user in spectrum based on static threshold is not a simple task. It may leads to loss in the signal coefficients. Hence, in the existing method the threshold selection is adaptive which depends on the noise variance. This method increases the probability of detection i.e. the detection of presence of the primary user in the spectrum, but calculating the energy of all the received symbols may lead to computational complex and high sensing time. Hence in the proposed method, the power of all the symbols collected near the spectrum is optimized using peak detection technique. This optimization method reduces the power caused due to unwanted or noisy data and leads to less power usage. Thus energy detection for this optimized data is simple with less sensing time. The experimental results suggest that this optimization based energy detection would also useful to get 99% of detection of primary user in spectrum at low SNR also.