Article 2222

Title of the article

Optimizing the parameters of recursive notch filters 


Dmitriy I. Popov, Doctor of engineering sciences, professor, professor of the sub-department of radio engineering systems, Ryazan State Radio Engineering University named after V. F. Utkin (59/1 Gagarina street, Ryazan, Russia), E-mail: 


Background. The object of the study is a multi-link recursive rejection filter (RF) designed to isolate radar signals of moving targets against the background of passive interference in the form of interfering reflections from stationary or slowly moving objects. The aim of the work is to optimize the parameters of the recursive RF of the reconstructed structure in the transient mode. Materials and methods. A method of parametric optimization of multi-link recursive RF in a transient mode is proposed, based on parametrization of the frequency response of the filter with subsequent use of the entered parameters as independent variables or limiting conditions in an iterative synthesis algorithm according to a criterion modified taking into account the volume of the processed sample. Results. Based on the parametrization of the amplitude-frequency response of a recursive notch filter, the optimal weighting coefficients were selected depending on the requirements for the efficiency of the correlated interference and its parameters, including the dynamic range relative to the level of the actual (uncorrelated) noise. Conclusions. Solving the problem of optimizing the parameters of recursive RF allows you to really use the wide possibilities of forming the required RF characteristics and flexibly controlling them depending on the interference parameters, which in conditions of a priori uncertainty implies appropriate adaptation of the RF. 

Key words

multi-link structure, parametric optimization, rejection filter, transient mode, cutting efficiency 

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For citation:

Popov D.I. Optimizing the parameters of recursive notch filters. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki = University proceedings. Volga region. Engineering sciences. 2022;(2):26–35. (In Russ.). doi:10.21685/2072-3059-2022-2-2


Дата создания: 17.06.2022 14:20
Дата обновления: 20.06.2022 14:17