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Journal Antennas №5 for 2020 г.
Article in number:
Comparison of application efficiency of the correlation methods of direction finding and resolution of signal sources
DOI: 10.18127/j03209601-202005-04
UDC: 621.396
Authors:

O. S. Litvinov – Dr.Sc. (Phys.-Math.), Professor,

Bauman Moscow State Technical University

E-mail: oleglitv@mtu-net.ru

D. A. Primenko – Assistant,

Bauman Moscow State Technical University

B. E. Vintaykin – Dr.Sc. (Phys.-Math.), Professor,

Bauman Moscow State Technical University

V. S. Boruta – Ph.D. (Phys.-Math.), Associate Professor,

Bauman Moscow State Technical University

Abstract:

This paper deals with the comparison of effectiveness of different methods of direction finding and resolution of signal sources. Such investigations are topical for development of the adaptive antennas arrays theory and its practical using.

Three signal direction finding methods have been considered: the maximum likelihood method (MMP), the maximum entropy method (MEM) and the multi-signal classification method (MUSIC). Numerical simulation of the operation of methods for a linear equidistant antenna array in the Matlab system has been carried out. With the help of numerical modeling, the following characteristics of the methods have been studied: the dispersion of the estimate of the angular position, the error in estimating the power of signals, the errors arising from inaccuracies in the manufacture of the antenna array. It has been shown that in a series of MMP – MEM – MUSIC decreases estimates dispersion, in a series of MEM – MUSIC – MMP decreases power estimation error, in a series of MEM – MMP – MUSIC decreases the response to inaccuracy in the manufacture of the antenna array and also the restoration capability of true relationship between the direction finding signals amplitudes from various sources.

The paper investigations will permit to do correct choice between considered in this paper correlation methods of direction finding and resolution of signal sources.

Pages: 32-41
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Date of receipt: 25 февраля 2020 г.