Article 4221

Title of the article

Analysis of Doppler auto-compensators phase shift of passive interference 

Authors

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: adop@mail.ru 

Index UDK

621.391:621.396.96 

DOI

10.21685/2072-3059-2021-2-4 

Abstract

Background. The object of the study is the Doppler autocompensators phase shift of passive interference based on quasi-optimal (simplified) discriminators using sumdifference algorithms. The purpose of the work is a comparative analysis of the accuracy of autocompensation depending on the parameters of passive interference and the volume of the training sample. Materials and methods. On the basis of discriminatory algorithms synthesized by the maximum likelihood method, the principles of constructing closed-type discriminators and autocompensators are considered. Results. Algorithms and a block diagram of a closed-loop auto-compensator are presented, as well as numerical results of a comparative analysis of the accuracy of auto-compensation using various discriminators. Conclusions. The considered closed-loop auto-compensators allow for the selection of structures and parameters of their nodes, depending on the requirements for the accuracy of compensation, the duration of the transient process, and the complexity of the hardware implementation. Optimal discriminators based on sum-difference algorithms open up the possibility of constructing quasioptimal discriminators that are easier to implement. The analysis of autocompensators with optimal and quasi-optimal discriminators shows that the considered simplifications lead to an insignificant decrease in the accuracy of compensation, which allows us to recommend the proposed autocompensators for practical use. 

Key words

autocompensators, analysis, Doppler phase shift, discriminators, training sample, passive interference, construction principles, sum-difference algorithms, autocompensation accuracy 

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Дата создания: 20.09.2021 11:47
Дата обновления: 20.09.2021 12:08