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ANALYSIS OF MULTI-FREQUENCY SIGNALS ADAPTIVE PROCESSING

D. I. Popov, 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 efficiency of adaptive optimal processing of multifrequency signals on the background of clutter is considered in the article. The aim of the work is analysis of the processing efficiency of multifrequency signals, which establishes the relationship between clutter cancellation in the system and errors in the adaptation of Doppler phase shifts and the weighting coefficients of adaptive matrix filter (AMF) to unknown clutter parameters − Doppler phase and inter-period correlation coefficients. In this case, the asymptotic properties of maximum likelihood estimators and linear approximation of AMF weighting coefficients dependences from the estimation of interperiod correlation coefficient are used under the assumption of the known shape of interference correlation function envelope. The relationships obtained and the graphs of clutter losses dependences in the suppression efficiency obtained as a result of the analysis allow us to choose the training sample size depending on the set value of adaptation loss, spectral-correlation properties of clutter and signal processing algorithm.

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

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