Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

被引：4

作者：

Prokopenko, I. G. ^{[1
]}

机构：

[1] Natl Aviat Univ, UA-03680 Kiev, Ukraine

来源：

CYBERNETICS AND INFORMATION TECHNOLOGIES | 2015年 / 15卷 / 07期

关键词：

Signal processing; aprioristic uncertainty; algorithm; robustness; radar signal; correlated noise; pulse interference;

D O I：

10.1515/cait-2015-0085

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper deals with the problem of synthesis of a robust detection algorithm for a harmonic signal on the background of correlated noise and impulse noise. The problem is solved using the empirical Bayes approach and the Tukey model of "pollution". The efficiency of the algorithm is investigated by the Monte-Carlo method.

引用

页码：13 / 22

页数：10