Pseudo BER Based SNR Estimation for Energy Detection Scheme in Cognitive Radio

Abstract

In this paper, an energy detection scheme based on the pseudo bit error rate (BER) estimation is investigated. In the proposed scheme, the basic strategy is to use the pseudo BER to estimate the signal-noise-ratio (SNR) of primary signal for energy detection at the cognitive users. Threshold and sensing length are updated with the estimated SNR afterward. We have shown that this modified energy detector outperforms traditional energy detector with the noise uncertainty and reliably alleviate the SNR wall effect.