10 research outputs found
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎ-ΠΏΠ»ΠΎΡΠΊΠΈΡ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΈΠ·Π»ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΡΠ°ΡΠΊΡΡΠ²Π° Π½Π° Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π°Π½ΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠ΅ΡΠΊΠΈ
Introduction. Phased antenna arrays (PAA) of large geometric dimensions find wide application in various spacecraft systems. The PAA design assumes the deployment of its sections in outer space to form a plane of the radiating aperture. However, when implementing such a design, locally flat violations of the radiating aperture may occur. In turn, this may lead to distortion of the original amplitude and phase distribution (APD) under the correct antenna deployment. As a result, the shape of the radiation pattern (RP) changes, in particular, its main maximum shifts and the level of side lobes increases. Under these conditions, in order to ensure the formation of a pattern with the given parameters, it is necessary to correct the APD in a PAA.Aim. To develop a method for correcting the APD in a PAA under the known parameters of violations in the radiating aperture geometry.Materials and methods. The method is based on the condition of minimizing the root-mean-square deviation of the RP formed after correction from the original RP in the absence of aperture violations. The basis of the method is the formation of a redefined system of linear algebraic equations (SLAE) connecting the parameters of geometry violations with RP distortions. Each of the SLAE equations corresponds to a certain angular direction in space, in which the condition of coincidence of the original and corrected RP is imposed.Results. A method for correcting the APD in the presence of locally flat violations of the PAA radiating aperture is proposed. Numerical simulation of the relationship between the parameters of violations and the directional characteristics was carried out. The main relations and results of numerical simulation are presented, in particular, the amplitude distributions, as well as the cross sections of the formed RP and the difference of the normalized RP in the presence of errors in the deployment of the PAA web both without and with APD correction.Conclusion. The results obtained show that, in the absence of APD correction in the PAA aperture, the formation of RP with the given parameters cannot be ensured. In particular, there is a shift of the main maximum of the RP and a change in the nature of the envelope of the side lobes. At the same time, APD correction makes it possible to maintain the RP practically unchanged.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ Π½Π° ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠ°Ρ
ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΡΠΈΡΠΎΠΊΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ ΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π°Π½ΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅ΡΠ΅ΡΠΊΠΈ (Π€ΠΠ ) Π±ΠΎΠ»ΡΡΠΈΡ
Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°Π·ΠΌΠ΅ΡΠΎΠ². ΠΠΎΠ½ΡΡΡΡΠΊΡΠΈΡ Π€ΠΠ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ ΡΠ°Π·Π²Π΅ΡΡΡΠ²Π°Π½ΠΈΠ΅ Π΅Π΅ ΡΠ΅ΠΊΡΠΈΠΉ Π² ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ Π΄Π»Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΠΈΠ·Π»ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΡΠ°ΡΠΊΡΡΠ²Π°. ΠΠ΄Π½Π°ΠΊΠΎ ΠΏΡΠΈ ΡΠ°Π·Π²Π΅ΡΡΡΠ²Π°Π½ΠΈΠΈ ΡΠ°ΠΊΠΎΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΌΠΎΠ³ΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎ-ΠΏΠ»ΠΎΡΠΊΠΈΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ ΠΈΠ·Π»ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΡΠ°ΡΠΊΡΡΠ²Π°, ΡΡΠΎ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ ΠΊ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΡ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠ³ΠΎ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎ-ΡΠ°Π·ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ (ΠΠ€Π ) ΠΏΡΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠΌ ΡΠ°Π·Π²Π΅ΡΡΡΠ²Π°Π½ΠΈΠΈ Π°Π½ΡΠ΅Π½Π½Ρ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½ΡΠ΅ΡΡΡ ΡΠΎΡΠΌΠ° Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΡΡΠΈ (ΠΠ), Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π΅Π΅ Π³Π»Π°Π²Π½ΡΠΉ ΠΌΠ°ΠΊΡΠΈΠΌΡΠΌ ΠΈ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ ΡΡΠΎΠ²Π΅Π½Ρ Π±ΠΎΠΊΠΎΠ²ΡΡ
Π»Π΅ΠΏΠ΅ΡΡΠΊΠΎΠ². Π ΡΡΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΠ Ρ Π·Π°Π΄Π°Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°ΡΡ ΠΠ€Π Π² Π€ΠΠ .Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ΅Π³ΠΎ ΠΏΡΠΈ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΠΈ ΠΈΠ·Π»ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΡΠ°ΡΠΊΡΡΠ²Π° ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°ΡΡ ΠΠ€Π Π² Π€ΠΠ .ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ΅ΡΠΎΠ΄ ΠΎΡΠ½ΠΎΠ²Π°Π½ Π½Π° ΡΡΠ»ΠΎΠ²ΠΈΠΈ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠ΅Π΄Π½Π΅ΠΊΠ²Π°Π΄ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΏΠΎΡΠ»Π΅ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΠ ΠΎΡ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠΉ ΠΠ Π² ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ ΡΠ°ΡΠΊΡΡΠ²Π°. ΠΡΠ½ΠΎΠ²ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
Π°Π»Π³Π΅Π±ΡΠ°ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ (Π‘ΠΠΠ£), ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠ΅ΠΉ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΠΈ Ρ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΡΠΌΠΈ ΠΠ. ΠΠ°ΠΆΠ΄ΠΎΠ΅ ΠΈΠ· ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ Π‘ΠΠΠ£ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΠ΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΌΡ ΡΠ³Π»ΠΎΠ²ΠΎΠΌΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅, Π² ΠΊΠΎΡΠΎΡΠΎΠΌ Π½Π°ΠΊΠ»Π°Π΄ΡΠ²Π°Π΅ΡΡΡ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ ΡΠΎΠ²ΠΏΠ°Π΄Π΅Π½ΠΈΡ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠΉ ΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΠ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΠ€Π ΠΏΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎ-ΠΏΠ»ΠΎΡΠΊΠΈΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ ΠΈΠ·Π»ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΡΠ°ΡΠΊΡΡΠ²Π° Π€ΠΠ . ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΡΡΠΈ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΡΠ΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΡΠ΅ΠΌΡΡ
ΠΠ ΠΈ ΡΠ°Π·Π½ΠΎΡΡΠΈ Π½ΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΠ ΠΏΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ ΠΏΠΎΠ³ΡΠ΅ΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ°Π·Π²Π΅ΡΡΡΠ²Π°Π½ΠΈΡ ΠΏΠΎΠ»ΠΎΡΠ½Π° Π€ΠΠ Π±Π΅Π· ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΈ Ρ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠ΅ΠΉ ΠΠ€Π .ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ ΠΏΡΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΠ€Π Π² ΡΠ°ΡΠΊΡΡΠ²Π΅ Π€ΠΠ Π½Π΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅ΡΡΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΠ Ρ Π·Π°Π΄Π°Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ ΡΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π³Π»Π°Π²Π½ΠΎΠ³ΠΎ ΠΌΠ°ΠΊΡΠΈΠΌΡΠΌΠ° ΠΠ ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ° ΠΎΠ³ΠΈΠ±Π°ΡΡΠ΅ΠΉ Π±ΠΎΠΊΠΎΠ²ΡΡ
Π»Π΅ΠΏΠ΅ΡΡΠΊΠΎΠ². Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΠ€Π ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΎΡ
ΡΠ°Π½ΠΈΡΡ ΠΠ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π±Π΅Π· ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ
Π‘ΠΈΠ½ΡΠ΅Π· Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎ-ΡΠ°Π·ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π² ΠΊΠ²Π°Π·ΠΈΠΊΠΎΠ»ΡΡΠ΅Π²ΠΎΠΉ Π°Π½ΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠ΅ΡΠΊΠ΅
Ring antenna arrays find wide application in radio systems of various purpose. However, in many cases it is necessary to use quasi-ring antenna arrays when the emitters are not located in a circle. Such a transition leads to a change in the radiation pattern, i.e. to a shift in its main maximum, an increase in the level of the side lobes, and appearance of two maxima of the radiation pattern. Therefore, to ensure the formation of a directional pattern with specified parameters, it is necessary to correct the amplitude-phase distribution of the quasi-annular antenna array. In this paper, features are considered and an algorithm for the synthesis of the amplitude-phase distribution of a quasi-annular antenna array is developed. The possibilities of preserving the parameters of the directional pattern during the transition from the ring to the quasi-annular antenna array are analyzed.Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠΈΠ½ΡΠ΅Π·Π° Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎ-ΡΠ°Π·ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠ²Π°Π·ΠΈΠΊΠΎΠ»ΡΡΠ΅Π²ΠΎΠΉ Π°Π½ΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠ΅ΡΠΊΠΈ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠΈΠΉ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ ΡΡΠ΅Π΄Π½Π΅ΠΊΠ²Π°Π΄ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΎΡΠΌΠΈΡΡΠ΅ΠΌΠΎΠΉ Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΡΡΠΈ ΡΡΠΎΠΉ ΡΠ΅ΡΠ΅ΡΠΊΠΈ ΠΎΡ Π·Π°Π΄Π°Π½Π½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠΎΠ»ΡΡΠ΅Π²ΠΎΠΉ Π°Π½ΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠ΅ΡΠΊΠΈ
ΠΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΈ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ°Π΄ΠΈΠ°Π»ΡΠ½ΠΎ-Π±Π°Π·ΠΈΡΠ½ΡΡ Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅ΠΉ Π΄Π»Ρ ΠΏΡΠΈΠ΅ΠΌΠ° ΡΠ΅Π»Π΅Π³ΡΠ°ΡΠ½ΠΎ-ΠΊΠΎΠ΄ΠΎΠ²ΡΡ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ
The use of neural network classification algorithms for solving the problem of receiving telegram-code structures is considered. The article provides comparison of the neural network classifiers analyzing the normalized input signal as well as the signal after the binary conversion. Various measures of the code distance in the space of informative features are considered. Recognition comparative results for the selected pair of symbols are given. On the basis of these results the code distance is determined, which ensures the minimum recognition error probability. The results obtained in the developed neural network classifier are compared with those obtained in correlation receivers operating in the signal time and frequency domains. The advantage of neural network algorithm is shown. The structure implementing the developed neural network classifier is provided. It is shown that the procedure for the classifier developing, k \ including selection of information signs and their amount, as well as code distance, is not of general nature and is to be performed for each set of recognizable symbols. It is stated that to generalize the received alphanumeric blocks it is necessary to use the second decision contour where current information on the reception and information on the duration of the observed symbol is supplied, which is the subject of further research.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΠΎΠΉ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°ΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΡΠ΅Π»Π΅Π³ΡΠ°ΡΠ½ΠΎ-ΠΊΠΎΠ΄ΠΎΠ²ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ, ΠΎΡΠ΅Π½Π΅Π½Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈΡ
ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π° ΡΡΡΡΠΊΡΡΡΠ° ΠΏΡΠ΅Π΄ΒΠ»Π°Π³Π°Π΅ΠΌΠΎΠΉ Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠΈ-ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΎΡΠ° ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π΅Π΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ. Π ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠΊΡΠΏΠ΅ΒΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΈ ΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΈΠ΅ΠΌΠ° Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ², ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΡ
Π½Π° ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π΅.
Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΠΌΠ½ΠΎΠ³ΠΎΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΡΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π² ΠΊΠ°Π½Π°Π»Π°Ρ Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ
Introduction. At present, the noise immunity of receiving multi-position signals in channels with variable parameters is improved using various signal structures (SS). In particular, in communication systems and the DVB-T2 television standard, these are quadrature amplitude modulation (QAM) signals with transformed constellation diagrams. However, in practical calculations of communication systems, the existing SS models fail to take into account the random nature of changes in the phases of the transformed signal constellation. This, in turn, leads to a discrepancy between the analytical value of error probability and its real value due to asynchronism in the radio link. The SS model proposed in this paper and the obtained analytical ratio take into account the introduced phase distortions in channels with variable parameters.Aim. Development of theoretical proposals for improving the efficiency of receiving QAM signals in radio channels with variable parameters.Materials and methods. The considered transformed SS model and the resulting analytical relation are described on the basis of communication theory and signal theory in the subject area of noise immunity research methods. This, in turn, enables analysis of the effect of phase distortions in channels with variable parameters on the error probability of receiving QAM signal elements.Results. A transformed SS model with improved energy characteristics and an analytical relation for calculating the error probability of receiving QAM signal elements are proposed. Theoretical proposals for improving the noise immunity of receiving multi-position signals in channels with variable parameters are formulated.Conclusion. The developed theoretical proposals for improving the noise immunity of multi-position quadrature signal structures in channels with variable parameters make it possible to improve their energy characteristics, taking into account phase distortions introduced by the communication channel. The presented dependence makes it possible to evaluate the relationship between the values of the probability of a pair error of receiving QAM signal elements and the limits of the change in phase shifts introduced by a communication channel with variable parameters. Future research will address the development of scientific and practical proposals for improving the noise immunity of quadrature multi-position signals, including an algorithm and block diagram for compensating phase shifts introduced in communication channels; processing of the amplitude values of the signal, which assumes the difference in the paths in terms of frequency-polarization and determines the accuracy of eliminating phase distortions.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ Π΄Π»Ρ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΠΌΠ½ΠΎΠ³ΠΎΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π² ΠΊΠ°Π½Π°Π»Π°Ρ
Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΠΈΠ³Π½Π°Π»ΡΠ½ΡΠ΅ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ (Π‘Π). Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Π² ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
ΡΠ²ΡΠ·ΠΈ ΠΈ ΡΠ΅Π»Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΌ ΡΡΠ°Π½Π΄Π°ΡΡΠ΅ DVB-T2 ΡΡΠΎ ΡΠΈΠ³Π½Π°Π»Ρ ΠΊΠ²Π°Π΄ΡΠ°ΡΡΡΠ½ΠΎΠΉ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎΠΉ ΠΌΠΎΠ΄ΡΠ»ΡΡΠΈΠΈ (ΠΠΠ) Ρ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ ΠΊΠΎΠ½ΡΡΠ΅Π»Π»ΡΡΠΈΠΎΠ½Π½ΡΠΌΠΈ Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌΠ°ΠΌΠΈ. ΠΠ΄Π½Π°ΠΊΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π‘Π ΠΏΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΡΡΠ΅ΡΠ°Ρ
ΡΠΈΡΡΠ΅ΠΌ ΡΠ²ΡΠ·ΠΈ Π½Π΅ ΡΡΠΈΡΡΠ²Π°ΡΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°Π· ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²Π΅Π·Π΄ΠΈΡ. ΠΡΠΎ, Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΠ°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΡΠΈΠ±ΠΊΠΈ Ρ ΡΠ΅Π°Π»ΡΠ½ΡΠΌ Π²ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅ Π°ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·ΠΌΠ° Π² ΡΠ°Π΄ΠΈΠΎΠ»ΠΈΠ½ΠΈΠΈ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π‘Π ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠ΅ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΡΠΈΡΡΠ²Π°ΡΡ Π²Π½ΠΎΡΠΈΠΌΡΠ΅ ΡΠ°Π·ΠΎΠ²ΡΠ΅ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΡ Π² ΠΊΠ°Π½Π°Π»Π°Ρ
Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ.Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΠΠ Π² ΡΠ°Π΄ΠΈΠΎΠΊΠ°Π½Π°Π»Π°Ρ
Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠ°Ρ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π‘Π ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠ΅ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΎΠΏΠΈΡΠ°Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠ²ΡΠ·ΠΈ, ΡΠ΅ΠΎΡΠΈΠΈ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π² ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ. ΠΡΠΎ, Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΠΉ Π² ΠΊΠ°Π½Π°Π»Π°Ρ
Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ Π½Π° Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΠΠ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π‘Π Ρ ΡΠ»ΡΡΡΠ΅Π½Π½ΡΠΌΠΈ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ ΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ Π΄Π»Ρ ΡΠ°ΡΡΠ΅ΡΠ° Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΠΠ. Π‘ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΠΌΠ½ΠΎΠ³ΠΎΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π² ΠΊΠ°Π½Π°Π»Π°Ρ
Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΊΠ²Π°Π΄ΡΠ°ΡΡΡΠ½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ Π² ΠΊΠ°Π½Π°Π»Π°Ρ
Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΠ»ΡΡΡΠΈΡΡ ΠΈΡ
ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΠΉ, Π²Π½ΠΎΡΠΈΠΌΡΡ
ΠΊΠ°Π½Π°Π»ΠΎΠΌ ΡΠ²ΡΠ·ΠΈ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½Π°Ρ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΎΡΠ΅Π½ΠΈΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΏΠ°ΡΠ½ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΏΡΠΈΠ΅ΠΌΠ° ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΠΠ ΠΈ ΠΏΡΠ΅Π΄Π΅Π»Π°ΠΌΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°Π·ΠΎΠ²ΡΡ
ΡΠ΄Π²ΠΈΠ³ΠΎΠ², Π²Π½ΠΎΡΠΈΠΌΡΡ
ΠΊΠ°Π½Π°Π»ΠΎΠΌ ΡΠ²ΡΠ·ΠΈ Ρ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ. ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΡΠΊΠ°Π·Π°Π½Π½ΡΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, Π·Π°ΠΊΠ»ΡΡΠ°ΡΡΠΈΠ΅ΡΡ Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½Π°ΡΡΠ½ΠΎ-ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΊΠ²Π°Π΄ΡΠ°ΡΡΡΠ½ΡΡ
ΠΌΠ½ΠΎΠ³ΠΎΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ²: Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΡΡ ΡΡ
Π΅ΠΌΡ ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠ°ΡΠΈΠΈ ΡΠ°Π·ΠΎΠ²ΡΡ
ΡΠ΄Π²ΠΈΠ³ΠΎΠ², Π²Π½ΠΎΡΠΈΠΌΡΡ
Π² ΠΊΠ°Π½Π°Π»Π°Ρ
ΡΠ²ΡΠ·ΠΈ; ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΡ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠΈΠ³Π½Π°Π»Π°, ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°ΡΡΡΡ ΡΠ°Π·Π»ΠΈΡΠΈΠ΅ ΡΡΠ°ΠΊΡΠΎΠ² ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅-ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ ΡΠΎΡΠ½ΠΎΡΡΡ ΡΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΠΉ
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π°Π½ΡΠ΅Π½Π½ΠΎ-Π²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ° Ρ ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅βΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ
Introduction. The creation of antenna-waveguide paths of multi-band mirror antennas (AWP MMA) is a significant task in the development of antenna-feeder devices for satellite communication systems (SSS). This task involves the construction of an adequate mathematical model of AWP MMA both without and with the implementation of an auto-tracking function built using the "frequency separation β polarization separation" method. However, the existing mathematical models have been developed only for specific AWP MMA types, thus making them unsuitable for the development of new AWP MMA. The model proposed in this paper can be used for an arbitrary number of combined frequency ranges and types of polarization.Aim. Development of a mathematical model of the AWP MMA of SSS both without and with the implementation of an auto-tracking function built using the "frequency separation β polarization separation" method.Materials and methods. The mathematical model under consideration assumes a description of the AWP MMA using block matrices. Each of these matrices describes the complex amplitudes of signals arising in each of the AWP MMA devices. This, in turn, makes it possible to analyze the influence of the parameters of each device on the characteristics of the AWP MMA of SSS as a whole with an arbitrary number of combined frequency ranges and types of polarization.Results. Two options for the construction of AWP MMA of SSS are proposed. The first option can be used in communication system antennas with software support, while the second option is applicable when a monopulse tracking method is implemented. To construct an AWP MMA model, it is proposed to use a matrix description of the characteristics of AWP MMA devices. This allows the structure of the considered AWP MMA to be varied within a wide range.Conclusion. The developed mathematical model makes it possible to describe the characteristics of each of the devices in the AWP MMA system using a certain multipole. The proposed model provides ample opportunities for controlling, at the stages of development, production and debugging, not only the characteristics of each device in the AWP MMA, but also the transmission coefficient and polarization isolation in each frequency range of the entire AWP MMA. The presented dependencies can be used to assess the relationship between parameter tolerances and the limits of changes in the characteristics of the motor vehicle.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Π°Π½ΡΠ΅Π½Π½ΡΡ
-ΡΠΈΠ΄Π΅ΡΠ½ΡΡ
ΡΡΡΡΠΎΠΉΡΡΠ² Π΄Π»Ρ ΡΠΈΡΡΠ΅ΠΌ ΡΠΏΡΡΠ½ΠΈΠΊΠΎΠ²ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ (Π‘Π‘Π‘) ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ Π°Π½ΡΠ΅Π½Π½ΠΎ-Π²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ΄Π½ΡΡ
ΡΡΠ°ΠΊΡΠΎΠ² ΠΌΠ½ΠΎΠ³ΠΎΠ΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π½ΡΡ
Π·Π΅ΡΠΊΠ°Π»ΡΠ½ΡΡ
Π°Π½ΡΠ΅Π½Π½ (ΠΠΠ’ ΠΠΠ), ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°ΡΡΠ΅Π΅ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΠΠ’ ΠΠΠ Π±Π΅Π· ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ Π°Π²ΡΠΎΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΠΎΠ³ΠΎ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΏΠΎΡΠΎΠ±Π° "ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ β ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ". ΠΠ΄Π½Π°ΠΊΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ ΡΠΎΠ»ΡΠΊΠΎ Π΄Π»Ρ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
ΡΠΈΠΏΠΎΠ² ΠΠΠ’ ΠΠΠ, ΡΡΠΎ Π΄Π΅Π»Π°Π΅Ρ Π½Π΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠΌ ΠΈΡ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½ΠΎΠ²ΡΡ
ΠΠΠ’ ΠΠΠ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΌΠΎΠΆΠ΅Ρ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ ΠΏΡΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΠΎΠ²ΠΌΠ΅ΡΠ°Π΅ΠΌΡΡ
Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ΠΎΠ² ΡΠ°ΡΡΠΎΡ ΠΈ Π²ΠΈΠ΄Π°Ρ
ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ.Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΠΠ’ ΠΠΠ Π‘Π‘Π‘ Π±Π΅Π· ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ Π°Π²ΡΠΎΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΠΎΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΏΠΎΡΠΎΠ±Π° "ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ β ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ".ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠ°Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΠΠ’ ΠΠΠ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π±Π»ΠΎΡΠ½ΡΡ
ΠΌΠ°ΡΡΠΈΡ. ΠΠ°ΠΆΠ΄Π°Ρ ΠΈΠ· ΡΡΠΈΡ
ΠΌΠ°ΡΡΠΈΡ ΠΎΠΏΠΈΡΡΠ²Π°Π΅Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠ΅ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Ρ ΡΠΈΠ³Π½Π°Π»ΠΎΠ², Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΡ
Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΌ ΠΈΠ· ΡΡΡΡΠΎΠΉΡΡΠ² ΠΠΠ’ ΠΠΠ. ΠΡΠΎ, Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΠ· ΡΡΡΡΠΎΠΉΡΡΠ² Π½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΠΠ’ ΠΠΠ Π‘Π‘Π‘ Π² ΡΠ΅Π»ΠΎΠΌ ΠΏΡΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΠΎΠ²ΠΌΠ΅ΡΠ°Π΅ΠΌΡΡ
Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ΠΎΠ² ΡΠ°ΡΡΠΎΡ ΠΈ Π²ΠΈΠ΄Π°Ρ
ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ Π΄Π²Π° Π²Π°ΡΠΈΠ°Π½ΡΠ° ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΠΠ’ ΠΠΠ Π‘Π‘Π‘. ΠΠ΅ΡΠ²ΡΠΉ Π²Π°ΡΠΈΠ°Π½Ρ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ Π² Π‘Π‘Π‘ Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΌ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ, Π²ΡΠΎΡΠΎΠΉ Π²Π°ΡΠΈΠ°Π½Ρ β Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΌΠΎΠ½ΠΎΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ. ΠΠ»Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΠΠ’ ΠΠΠ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΌΠ°ΡΡΠΈΡΠ½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π΅Π³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π² ΡΠΈΡΠΎΠΊΠΈΡ
ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
Π²Π°ΡΡΠΈΡΠΎΠ²Π°ΡΡ ΡΡΡΡΠΊΡΡΡΡ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΠΠ’ ΠΠΠ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΠΏΠΈΡΠ°ΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΠ· ΡΡΡΡΠΎΠΉΡΡΠ² Π² ΡΠΎΡΡΠ°Π²Π΅ ΠΠΠ’ ΠΠΠ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π½Π΅ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠΎΠ»ΡΡΠ½ΠΈΠΊΠ°. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ ΡΠΈΡΠΎΠΊΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π½Π° ΠΊΠ°ΠΆΠ΄ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ, ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΈ ΠΎΡΠ»Π°Π΄ΠΊΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»ΠΈΡΠΎΠ²Π°ΡΡ ΠΊΠ°ΠΊ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΠ· ΡΡΡΡΠΎΠΉΡΡΠ² Π² ΡΠΎΡΡΠ°Π²Π΅ ΠΠΠ’ ΠΠΠ, ΡΠ°ΠΊ ΠΈ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈ ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΡ ΡΠ°Π·Π²ΡΠ·ΠΊΡ Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΌ ΡΠ°ΡΡΠΎΡΠ½ΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ Π²ΡΠ΅Π³ΠΎ ΠΠΠ’ ΠΠΠ Π² ΡΠ΅Π»ΠΎΠΌ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ Π΄Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΎΡΠ΅Π½ΠΈΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ Π΄ΠΎΠΏΡΡΠΊΠ°ΠΌΠΈ Π½Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΡΡΡΠΎΠΉΡΡΠ² ΠΈ ΠΏΡΠ΅Π΄Π΅Π»Π°ΠΌΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΠΠ’ ΠΠΠ
Synthesis of Amplitude-Phase Distribution in Quasiconcave an Antenna Array
Ring antenna arrays find wide application in radio systems of various purpose. However, in many cases it is necessary to use quasi-ring antenna arrays when the emitters are not located in a circle. Such a transition leads to a change in the radiation pattern, i.e. to a shift in its main maximum, an increase in the level of the side lobes, and appearance of two maxima of the radiation pattern. Therefore, to ensure the formation of a directional pattern with specified parameters, it is necessary to correct the amplitude-phase distribution of the quasi-annular antenna array. In this paper, features are considered and an algorithm for the synthesis of the amplitude-phase distribution of a quasi-annular antenna array is developed. The possibilities of preserving the parameters of the directional pattern during the transition from the ring to the quasi-annular antenna array are analyzed
Radial Basis Neural Network Construction and Training for Telegraph-Code Structure Reception
The use of neural network classification algorithms for solving the problem of receiving telegram-code structures is considered. The article provides comparison of the neural network classifiers analyzing the normalized input signal as well as the signal after the binary conversion. Various measures of the code distance in the space of informative features are considered. Recognition comparative results for the selected pair of symbols are given. On the basis of these results the code distance is determined, which ensures the minimum recognition error probability. The results obtained in the developed neural network classifier are compared with those obtained in correlation receivers operating in the signal time and frequency domains. The advantage of neural network algorithm is shown. The structure implementing the developed neural network classifier is provided. It is shown that the procedure for the classifier developing, k \ including selection of information signs and their amount, as well as code distance, is not of general nature and is to be performed for each set of recognizable symbols. It is stated that to generalize the received alphanumeric blocks it is necessary to use the second decision contour where current information on the reception and information on the duration of the observed symbol is supplied, which is the subject of further research