NONPARAMETRIC ALGORITHMS FOR DETECTION OF RADAR MARKOV SIGNALS AGAINST THE BACKGROUND OF MARKOV NOISE

被引：0

作者：

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

机构：

[1] Natl Aviat Univ, Aviat Radioelect Complexes Dept, Kiev, Ukraine

来源：

2020 21ST INTERNATIONAL RADAR SYMPOSIUM (IRS 2020) | 2020年

关键词：

Signal processing; robust rank algorithms; radar signal detection; Markov correlated noise; Markov copula; apriori uncertainity;

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：

The technology of synthesis of the nonparametric algorithms for processing of correlated random processes is proposed. The use of a Markov model of correlated signals allows to build Markov copula and synthesize the nonparametric rank algorithms on a single N-cube that use nonparametric estimation of a one-dimensional cumulative distribution function using a training sample containing interference only. The theory of synthesis of nonparametric rank Markov decision rules is constructed, the problem of synthesis of rank nonparametric algorithm for detection of correlated signal against the background of uncorrelated noise on the output of amplitude demodulator is solved. Properties of this algorithm are investigated.

引用

页码：356 / 361

页数：6

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