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Estimation of the connectedness parameter of narrow-band interferences described by Markov model in applied problems of detecting radar signals

V. I. Koshelev, I. S. Kholopov


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.


Markov chain; correlated clutters; power spectral density

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V. A. Kazakov, Introduction into the Theory of Markov Processes and Certain Radio Engineering Problems (Sov. Radio, Moscow, 1973) [in Russian].

L. A. Vainshtein and V. D. Zubakov, Signal Extraction against the Background of Random Interferences (Sov. Radio, Moscow, 1960) [in Russian].

A. M. Zaezdnyi, Essential Principles of Statistical Radio Engineering Calculations (Svyaz’, Moscow, 1969) [in Russian].

V. V. Mottl’ and I. B. Muchnik, Hidden Markov Models in the Structural Analysis of Signals (Fizmatlit, Moscow, 1999) [in Russian].

S. L. Marple, Jr., Digital Spectral Analysis with Applications (Prentice-Hall, New Jersey, 1987; Mir, Moscow, 1990).

G. P. Tartakovskii (Ed.), The Issues of Statistical Theory of Radiolocation, Vol. 2 (Sov. Radio, Moscow, 1963) [in Russian].

V. E. Dulevich (Ed.), Theoretical Foundations of Radiolocation (Sov. Radio, Moscow, 1978) [in Russian].

P. A. Bakulev and V. M. Stepin, Methods and Devices for Moving Target Selection (Radio i Svyaz’, Moscow, 1986) [in Russian].

V. M. Koshevoi, “Synthesis of Recurrent Algorithms for Optimal Signal Processing,” Izv. Vyssh. Uchebn. Zaved., Radioelektron. 28(11), 14 (1985); Radioelectron. Commun. Syst. 28(11), 12 (1985).

V. I. Koshelev, ARMA Models of Random Processes. Applied Problems of Synthesis and Optimization (Radio i Svyaz’, Moscow, 2002) [in Russian].

V. G. Repin and G. P. Tartakovskii, Statistical Synthesis under Conditions of a Priori Uncertainty and Adaptation of Information Systems (Sov. Radio, Moscow, 1977) [in Russian].

V. P. Rumyantsev, “Synthesis of Identification Algorithms of Radio Signals Presented by Code Combinations,” Izv. Vyssh. Uchebn. Zaved., Radioelektron. 32(4), 63 (1989); Radioelectron. Commun. Syst. 32(4), 59 (1989).

V. N. Zhurakovskii, D. L. Kazakov, and O. K. Shanaev, “A Technique for Analyzing Digital Detection Systems under Condition of Dependent Samples of the Input Signal,” Radiotekhnika, No. 10, 3 (1987).

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