Signal Detection in Additive-Multiplicative non-Gaussian Noise Using Higher Order Statistics

被引：0

作者：

Palahina, Elena ^{[1
]}

Palahin, Volodymyr ^{[1
]}

机构：

[1] Cherkasy State Technol Univ, Shevchenko Blvd 460, UA-18006 Cherkassy, Ukraine

来源：

PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA 2016) | 2016年

关键词：

radiofrequency signals detection; moment quality criterion; higher order statistics; additive-multiplicative non-Gaussian noise;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper addresses the problem of signal detection in additive-multiplicative non-Gaussian noise, when the moment and cumulant functions are used to describe the random process. The new approach for statistical hypothesis testing is proposed. This approach is based on the development of the polynomial decision rules and new moment quality criterion statistical hypothesis testing. It is shown that nonlinear signals processing and taking into account the cumulants of third and higher order is allowed us to describe non-Gaussian process and increase the affectivity of signal processing.

引用

页码：262 / 267

页数：6

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