The paper deals with the detection of a signal embedded in cyclostationary white non-Gaussian noise with unknown (but nonrandom) periodic noise intensity level. Since for this problem no uniformly most powerful test exists, the generalized log-likelihood ratio test (GLLRT) is considered because of its asymptotic opt imality properties. The performance of GLLRT is compared with those of the optimum and asymptotically optimum detectors whose synthesis is based on a complete characterization of the noise. A modified version of the asymptotically optimum detector which does not need the complete characterization of the noise is also considered.
Signal detection in partially known cyclostationary non-Gaussian noise / Izzo, Luciano; Paura, Luigi; Tanda, Mario. - STAMPA. - (1990), pp. 116-119. (Intervento presentato al convegno NAECON 90 (National Aerospace and Electronics Conference) tenutosi a Dayton, Ohio, USA nel 21-25 Maggio 1990).
Signal detection in partially known cyclostationary non-Gaussian noise
IZZO, LUCIANO;PAURA, LUIGI;TANDA, MARIO
1990
Abstract
The paper deals with the detection of a signal embedded in cyclostationary white non-Gaussian noise with unknown (but nonrandom) periodic noise intensity level. Since for this problem no uniformly most powerful test exists, the generalized log-likelihood ratio test (GLLRT) is considered because of its asymptotic opt imality properties. The performance of GLLRT is compared with those of the optimum and asymptotically optimum detectors whose synthesis is based on a complete characterization of the noise. A modified version of the asymptotically optimum detector which does not need the complete characterization of the noise is also considered.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
