SIGNAL-DETECTION IN CYCLOSTATIONARY GENERALIZED GAUSSIAN-NOISE WITH UNKNOWN-PARAMETERS

被引：2

作者：

NAPOLITANO, A

PAURA, L

TANDA, M

机构：

[1] Università di Napoli, Dipartimento di Ingegneria Elettronica, Napoli, 80125

来源：

EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS | 1992年 / 3卷 / 01期

关键词：

D O I：

10.1002/ett.4460030107

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The paper deals with the detection of a known signal embedded in cyclostationary white generalized Gaussian noise. Two cases are considered: the former assumes unknown (but nonrandom) the periodic noise intensity, the latter considers unknown also the noise-shape parameter. Since for these detection problems non uniformly most powerful test exists, the generalized log-likelihood ratio test (GLLRT) is considered because of its asymptotic optimality properties. The GLLRT-based detectors for both cases are synthesized and their asymptotic (i.e., for large sample size) performances are analytically evaluated. Moreover, for finite sample size, the performances, carried out via computer Monte Carlo simulations, are compared with that of the optimum detector, whose synthesis is based on a complete noise characterization.

引用

页码：39 / 43

页数：5

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