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

I. G. Prokopenko

Abstract


The article deals with the technology of construction of nonparametric processing methods of correlated random processes. The use of a Markov model of correlated signals allows to synthesize the nonparametric rank algorithms 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. Property of this algorithm is investigated.


Keywords


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

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