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ADAPTIVE INTERPERIOD PROCESSING OF MULTIFREQUENCY SIGNALS

D. I. Popov, Dr. in technical sciences, PhD, full professor, department of radioengineering systems, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.

The structure and efficiency of adaptive interperiod processing of multifrequency signals on clutter background are considered. The aim of the work is to analyze the efficiency of multifrequency signals processing, establishing the relationship between threshold signal-to-clutter ratio at system input and the structure of adaptive rejection filter (ARF) construction in frequency channels, as well as adaptation errors of Doppler phase shifts and ARF weights to unknown clutter parameters − Doppler phase and interperiod correlation coefficients. In this case, asymptotic properties of maximum likelihood estimates and linear approximation of ARF weight coefficient dependencies on the estimation of interperiod correlation coefficient are used under the assumption of the known shape of clutter function correlation envelope. The results and the graphs showing the dependencies of threshold signal-to-clutter ratio loss obtained as the result of the analysis allow us to choose the training sample size depending on adaptation loss set value, clutter spectralcorrelation properties, and ARF construction structure.

Key words: adaptive processing, analysis, Doppler phase, correlation coefficients, multifrequency signals, adaptation errors, clutter, processing efficiency.

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