A.V. Bakhmutskaya1, A.P. Pavlov2, I.E. Kashchenko3

1−3 Omsk Scientific Center SB RAS (Institute of Radiophysics and Physical Electronics) (Omsk, Russia)

At design the modern remotely controlled transferring communication centers intended for work in the conditions of Far North it is necessary to consider influence of low temperatures on physical and constructive parameters of the radio-transmitting device. At the moment this problem is solved by use of communication centers of container type with the expensive systems of climate control which, besides increase in cost and mass-dimensional characteristics, increase the power consumption of the communication center that leads to decrease in efficiency and, as a result, increase in working costs of the communication center. One of key parameters of the radio-transmitting devices subject to influence of temperature condition of the environment is the transfer characteristic on which the level of nonlinear distortions in an output signal directly depends. This parameter is defined by characteristics of the power amplifier used in the radio transmitter. So, the research of methods of decrease in consequences of influence of temperature condition on separate blocks of the radio transmitter, namely on the power amplifiers sensitive to temperature drop, is a relevant task.

The aim of the article to carry out assessment of parameters and algorithms of linearization of the transfer characteristic of the power amplifier in the range of frequencies from 5 MHz to 30 MHz in the conditions of the lowered temperature.

 The article presents results of linearization of the nonlinear transfer characteristics of a power amplifier in the frequency range from 30 MHz to 520 MHz when the ambient temperature changes from 0 to minus 60 °C. The linearization is using digital predistortion the basis for a polynomial model with memory. As a result of research, the linearization algorithms of the nonlinear transfer characteristics of a power amplifier in the frequency range from 30 MHz to 520 MHz were evaluated in low temperature conditions.

Bakhmutskaya A.V., Pavlov A.P., Kashchenko I.E. Linearization of power amplifier were evaluated in low temperature conditions.  Radiotekhnika. 2021. V. 85. № 10. P. 102−112. DOI: https://doi.org/10.18127/j00338486-202110-12 (In Russian)

1. Guillermo G. Microwave Transistor Amplifiers: analysis and design. Englewood Cliffs. N.J.: Prentice-Hall. 1984.
2. Cykin G.S. Usilitel'nye ustrojstva. Izd. 4-e. M.: Svjaz'. 1971. 367 s. (In Russian).
3. Kashhenko I.E. Sistema vvoda cifrovyh predyskazhenij na osnove tranzistornogo radioperedajushhego ustrojstva dekametrovogo diapazona RPDU-1M2. Sb. dokl. Mezhdunar. nauch.-tehn. konf. «Radiolokacija, navigacija i svjaz'». Voronezh: NPF «SAKVOEE». 2014. S. 1984– 1992 (In Russian). 
4. Konstantinou K., Kim E. Digital predistortion of wideband signals based on power amplifier model with memory. IEEE Letters. 2001. V. 37. P. 1417–1418.
5. Vuolevi J.H.K., Rahkonen T., Manninen J.P.A. Measurment technique for char-acterizing memory effects in RF power amplifiers. IEEE Trans. Microw. Theory Tech. 2001. V. 49. № 8. P. 1383–1389.
6. Cesari A. and Gilabert P. L., Montoro G. A FPGA based digital predistorter for RF amplifiers with memory effects. Proc. 2nd Eur., Microw. Integrated Circuits Conf., Munich, Germany, Oct. 2007, pp. 135–138.
7. Zhu A., Brazil T.J. An overview of Volterra series based behavioral modeling of RF/microwave power amplifiers. 2006 IEEE Annual Wireless and Microwave Technology Conference. 2006. Р. 1−5. https://doi.org/10.1109/WAMICON.2006.351917.
8. Penrose R. A generalized inverse for matrices. Mathematical Proceedings of the Cambridge Philosophical Society. 1955. V. 51.  № 3. Р. 406–413. https://doi.org/10.1017/S0305004100030401.
9. Kashhenko I.E., Pavlov A.P. Metod jekstrakcii parametrov dlja nelinejnoj polinomial'noj modeli s pamjat'ju. sb. dokl. Mezhdunar. nauch.tehn. konf. «Radiotehnika, jelektronika i svjaz'». Omsk: ONIIP. 2017. S. 250–255 (In Russian).  
10. Gan L. Adaptive digital predistortion of nonlinear systems. Ph.D. Thesis. Faculty of Electrical and Information Engineering. Graz University of Technology. Graz, Austria. 2009.
11. Ljung L. System Identification – Theory for the User. 2nd ed. Upper Saddle River. N.J., USA: Prentice-Hall. 1999.
12. Ding L., et al. Memory polynomial predistorter based on the indirect learning architecture. Global Telecommunications Conference, 2002. GLOBECOM ’02. IEEE. 2002. V. 1. Р. 967–971. https://doi.org/10.1109/GLOCOM.2002.1188221.