D.I. Popov - Dr.Sci. (Eng.), Professor, Ryazan state Radio Engineering University. E-mail: adop@mail.ru

In the article the adaptive rejection algorithms of clutter with a priori unknown spectral-correlation characteristics by the wobbulation of the repetition period are synthesized. The description of the wobbling sequences processed samples is given. The basic quantitative indicators-governmental wobbling sequence (the core, the period and the depth of the wobbulation) is introduced. Synthesis of the required algorithms for nonrecursive adaptive rejector filter (ARF) of a given order is reduced to the determination of the weight vector coefficients of co-implementing the best indicator of the effectiveness of selection signals of moving targets on the background of the incoming clutter. As a criterion of effectiveness is considered average Doppler shift signal phase factor to improve the signal-to-clutter. Then, in adapting the RF generally should form a weight vector that realizes the maximum improvement factor. Based on the extreme properties of the characteristic (own) properties of matrices optimal vector is defined as the eigenvector of the correlation matrix of the clutter corresponding to its minimum eigenvalue. After the transfer, in accordance with the methodology of the adaptive Bayesian approach to the estimated value of the correlation matrix clutter general form of the vector of optimal weighting coefficients ARF is determined. Specific depending on the order of the ARF adaptive algorithms are obtained, which in particular cases converge to the known algorithms, which confirms their the accuracy. The synthesized algorithms under a priori uncertainty of the spectral-correlation characteristics of clutter allow adapt to the argument and modulo the real correlation function of clutter, without resorting to the approximation of its shape, subject to the laws and parameters of the wobbulation of the repetition period. A comparative analysis of the synthesized and well-known algorithms is carried out. Adaptation of the proposed processing algorithms, coupled with their restructuring in time leads to significant gains in efficiency rejection clutter compared to the known algorithms. Using of obtained algorithms in the design of ARF improves the efficiency allocation of moving targets signals in a much larger range of radial velocities in the background clutter with unknown spectral-correlation properties.

 

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