In order to gain awareness of available transmission opportunities, a cognitive radio [1] system requires the implementation of a spectrum sensing unit, which must indicate whether a transmission is taking place in the considered channel. In order to provide such indication, a binary hypothesis testing experiment must be periodically performed [2]. Many algorithms have been proposed for the computation of such test statistics [3]. In this paper we focus on the performance of Hybrid Approach of semi-blind eigenvalue-based detection (EBD) algorithms, especially RLRT [4], in which the noise variance is estimated in a given number of auxiliary slots.
DHAKAL, P., GARELLO, R., PENNA, F., RIVIELLO, D.G. (2013). Impact of noise estimation on eigenvalue based spectrum sensing in cognitive radio systems. COST.
Impact of noise estimation on eigenvalue based spectrum sensing in cognitive radio systems
RIVIELLO, DANIEL GAETANO
2013
Abstract
In order to gain awareness of available transmission opportunities, a cognitive radio [1] system requires the implementation of a spectrum sensing unit, which must indicate whether a transmission is taking place in the considered channel. In order to provide such indication, a binary hypothesis testing experiment must be periodically performed [2]. Many algorithms have been proposed for the computation of such test statistics [3]. In this paper we focus on the performance of Hybrid Approach of semi-blind eigenvalue-based detection (EBD) algorithms, especially RLRT [4], in which the noise variance is estimated in a given number of auxiliary slots.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.