Performance analysis of cumulant-based detection of non-Gaussian signals

被引：0

作者：

Porat, B ^{[1
]}

Friedlander, B ^{[1
]}

机构：

[1] UNIV CALIF DAVIS,DEPT ELECT & COMP ENGN,DAVIS,CA 95616

来源：

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 1996年 / 10卷 / 2-3期

关键词：

signal detection; cumulants; high-order moments; non-Gaussian ARMA processes;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider the problem of detecting a linear stationary non-Gaussian signal in additive Gaussian noise. Detection is assumed to be done in two steps: first a selected set of sample cumulants and/or moments of the data is computed; next a detection statistic based on these sample moments/cumulants is evaluated. Three types of detectors are considered: a likelihood ratio (optimal) detector, a weighted energy detector and a simple energy detector. The paper provides asymptotic performance analysis of these detectors for MA and ARMA signal and noise models. A simple example is worked out in detail.

引用

页码：99 / 111

页数：13

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