350 rub
Journal Science Intensive Technologies №2 for 2024 г.
Article in number:
Integrated processing of radio location images in various frequency ranges
Type of article: different
UDC: 621.391
Authors:

A.V. Korennoy – Honored Scientist of RF, Dr. Sc. (Eng.), Professor, Department №122,
MESC «Zhukovsky–Gagarin Air Force Academy» (Voronezh)
E-mail: korennoj@mail.ru
S.A. Lepeshkin – Ph. D. (Eng.), Deputy Head of Department №95, Mozhaysky Military Space Academy (Saint Petersburg)
E-mail: lepeshkins@mail.ru
E.A. Yaschenko – Post-graduate Student, Department №122, MESC «Zhukovsky–Gagarin Air Force Academy» (Voronezh)
E-mail: egorka421.91@mail.ru
A.A. Kozhevnikov – Research Scientist, Department №32,
Radio-Electronic Struggle RTC of MESC «Zhukovsky–Gagarin Air Force Academy» (Voronezh)

E-mail: kozhevnikov_a_a@mail.ru

Abstract:

Modern radio location systems of the surface remote sounding provide continuous detailed surface observation over a great distance from the sensing radar, notwithstanding weather conditions, time of day, smokescreen or forestlands. Radar locators with synthesized aperture antenna (RSA) have become widely used to form highly detailed radio location images (RLI). Considering advantages of RSA, they are commonly used in air-space monitoring systems as well as in geological exploration and ground mapping. The RSA formed radar location image is influenced by a number of factors such as geometrical features of the surface, electrical parameters of the surface, wavelength of sounding fluctuations, and others.

One of the promising directions in RSA development is using of multifrequency radar sounding for more efficient image processing, in order to increase information content and detect concealed objects. For this purpose, optimal ranges for multi frequency sounding should be 2…5 cm; 50…80 cm, and 150…350 cm. However, modern remote sensing complexes of the surface process RLIs of various frequent ranges separately, without regard to correlation relationship between RLIs formed in different frequencies. To date these relationships are substantiated, space correlation function models are developed, and its parameters for various frequency ranges are determined. Consequently, the article suggests the integrated processing of RSA signals in various ranges of the sounding signal with the use of Bayesian approach sensitive to connectivity of RLIs of various frequencies, in order to increase the RLI information content and quality.

To solve a problem of the integrated processing of RLIs of various frequency ranges it is suggested to present these RLIs in a form of multicomponent random fields and employ a method of optimal restoration of static random fields based on Bayesian approach. Using this approach for RLI restoration in a two-range RSA, there were obtained expressions for the vector of complex assessment of the RLIs and for the errors correlation matrix, there was also created a schematic structure of the two-channel device for integrated processing that can realize the algorithm of random fields restoration applied to RLI integrated processing in a two-range RSA.

For the purpose of performance assessment of the synthesized algorithm its simulation modeling was realized. The distribution dispersal coefficients used for modeling were real RLI fragments obtained with the help of RSA in a range X with sounding signal wavelength of 2,5…3,74 cm, and in a range L with sounding signal wavelength of 15…30 cm. A priori data in Bayesian algorithm for RLI restoration are presented as correlation functions of RLI mathematical models developed for various frequency ranges.

The modeling allowed getting the assessments of two fragments of one and the same RLI in different frequency ranges in the process of separate and integrated processing. The article also presents the graph of space coordinates averaged error dispersion under separate and integrated processing.

The study undertaken demonstrates that in comparison with separate processing, the integrated processing of several RLIs of various frequency ranges results in revealing of concealed objects on the RLI as well as in decrease of error dispersion of the formed RLIs.

Pages: 14-20
References
  1. Shkol'ny'j L.A. Radiolokaczionny'e sistemy' vozdushnoj razvedki, deshifrirovanie radiolokaczionny'x izobrazhenij. M.: Izd-vo VVIA im. prof. N.E. Zhukovskogo. 2008. 531 s.
  2. Verba V.S., Tatarskij A.R. Radiolokaczionny'e sistemy' aviaczionno-kosmicheskogo monitoringa zemnoj poverxnosti i vozdushnogo prostranstva. Pod red. V.SVerby', B.GTatarskogo. M.: Radiotexnika. 2014. 576 s.
  3. Korennoj A.V., Lepyoshkin S.A., Yashhenko E.A., Kadochnikov A.P. Modelirovanie radiolokaczionny'x izobrazhenij na osnove stoxasticheskix differenczial'ny'x uravnenij v chastny'x proizvodny'x. E'lektromagnitny'e volny' i e'lektronny'e sistemy'. 2017. № 6. S. 4−10.
  4. Korennoj A.V. Obnaruzhenie, raspoznavanie i opredelenie parametrov obrazov ob''ektov. Metody' i algoritmy'. Pod red. A.VKorennogo. M.: Radiotexnika. 2012. 112 s.
  5. Korennoj A.V. Matematicheskie modeli polutonovy'x izobrazhenij. Radiotexnika. 2007. № 8. S. 79−81.
Date of receipt: 27 ноября 2017 г.