Estimation of the connectedness parameter of narrow-band interferences described by Markov model in applied problems of detecting radar signals
An adaptive selection algorithm of the order of filter for the suppression of correlated interferences described by the m-order Markov models has been considered. The specified algorithm based on estimating the order of connectedness was analyzed in terms of the structure of inverse correlation matrix of the clutter (interference). This algorithm was compared with the algorithm based on calculating the Akaike information criterion. In addition the relationships of the threshold value used in making a decision on the order of connectedness as a function of the relative spectrum width of interference and the noise-to-clatter ratio were also obtained.
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