Implementation of a two stage fully-blind self-adapted spectrum sensing algorithm

Abstract

In this paper, an experimental validation of a combined two-stage detector called 2EMC is carried out. The detector is proposed in [1]. The 2EMC is composed of energy detector as a primary stage and maximum-minimum eigenvalue detector as a secondary stage. The 2EMC outperforms the two individual detectors in terms of the probability of detection for the same probability of false alarm. Regarding the complexity measured in the sensing time, the 2EMC sensing time is bounded by the sensing times of the two individual detectors. 2EMC incorporates noise estimation that is used by the energy detector, which makes it fully-blind and self-adapted detector. The noise estimator performance is expressed in terms of the normalized mean square error (NMSE). The 2EMC is implemented using USRPs and signals transmitted wirelessly. Measurements results show functionality and validate the theoretical findings.