Measurement studies of a spectrum sensing algorithm based on double thresholding

Abstract

Welch spectrum estimator may be used for spectrum monitoring and sensing. Conventionally, the detection threshold is set assuming that the noise power is estimated from noise-only samples. The forward consecutive mean excision (FCME) algorithm is a method for automatically making decisions based on the decision variables, without estimation of the noise power a priori. In this paper, we propose the utilization of the FCME algorithm with the Welch spectrum estimator. Additionally, theoretical analysis about asymptotic threshold setting for the FCME algorithm with the Welch spectrum estimator is presented. The localization algorithm based on double-thresholding (LAD) with adjacent cluster combining (ACC) utilizes the FCME algorithm and is very suitable for signal detection. Laboratory and field measurement results with the LAD ACC method are included to study the detectability of different signal types, including a real wireless microphone signal.