Peculiarities and tasks of estimating the carriage frequency of modern satellite data transmission systems

DOI: 10.31673/2412-4338.2020.011787

Abstract

Satellite communication is intensively used in the implementation of important national projects, including for the effective solution of national security tasks, with the aim of socio–economic development of states and successful international cooperation.
The use of space technology not only significantly improved the performance of communication systems, but also allowed to connect with each other directly the most remote parts of the globe. The construction of new data transmission systems is closely linked to the forecasts for the development of telecommunication services, as well as to a more rational distribution of volumes and types of services between satellite, radio relay and fiber–optic systems. Such forecasting, based on the study of trends in the development of communications and communication systems and services provided, is particularly important in today's economic environment.
The article analyzes modern satellite systems for discrete data transmission and determined that the considered satellite systems are characterized by extremely low channel energy, significant signal frequency uncertainty and the presence of "adjacent channels". To improve their efficiency, coherent signal processing in the demodulator and the use of powerful noise immunity encoding are required. And for multi–channel satellite access systems with frequency division, providing on–demand channel requires multiple access and provisioning for on–demand channel and operation in both continuous and batch modes. When implementing satellite synchronization procedures, the carrier frequency synchronization determines the decisive value. In order to solve the problem of developing an algorithm for estimating the carrier frequency of the FM signal in coherent demodulators of modern communication systems, the article proposes to determine the potential boundaries of the dispersions of the obtained estimates, to develop an algorithm for estimating the carrier and frequencies of the FM signal, taking into account the specifics of the satellite communication channel and development fast Fourier transform estimation procedures.

Key words: satellite communication systems, satellite communications channel energy, signal frequency uncertainty, coherent signal processing, noise–resistant coding.

References
1. Kukk K.I. (2015) Satellite Communications: Past, Present, Future. Moscow, Hotline, 262 р.
2. Kryilov A.M. (2014) Satellite communications and broadcasting systems. Status and development prospects. Moscow, Radio and communications. 182 p.
3. Boyko Yu.M. Svorin N.M. (2011) Analysis of digital modulation / demodulation methods in communication and information transmission systems. Bulletin of the Khmelnytsky National University. 1.P.103–110.
4. Dovgopoly A.S. Ponomarenko S.O., Tverdohlibov V.V., Beloborodov O.O. (2018) Improvement of satellite navigation systems of weapons and military equipment under conditions of intentional interference. Weapons and military equipment. 1 (17). P. 67–71.
5. Brusin E. A. (2007) Estimation of the carrier frequency of FM signals in demodulators of satellite communication systems. Telecommunication. 5. Р.12–13.
6. Pavlenko M.P., Bychkov V.E., Pravda V.I. (2012) Implementation of Viterbi decoder on FPGA for satellite communication systems. Bulletin of the National Technical University of Ukraine "KPI" 75 Series: Radio Engineering. Radio engineering. 49. P.71–75.
8. Rabiei A.M., Beaulieu N.C. (2011) Frequency offset invariant multiple symbol differential detection of MPSK. IEEE Trans. Commun. 59(3). P.652–657.
9. Nasir A.A. Durrani S., Kennedy R.A. (2012) Particle filters for joint timing and carrier estimation: Improved resampling guidelines and weighted bayesian cramer–rao bounds. IEEE Trans. Commun. 60(5). P.1407–1419.
10 Bhatti J., Noels N., and Moeneclaey M. (2011) Low–complexity frequency offset and phase noise estimation for burst–mode digital transmission in Proc. IEEE PIMRC. Toronto, 11-14 September 2011. P.1662–1669.
11. Bulgakov O.M., Golubinskiy A.N. (2010) Estimation of the frequency of the fundamental tone of a speech signal by the maximum likelihood method with a known distribution of amplitudes and initial phases of harmonics of a complex carrier oscillation. Bulletin of the VI Ministry of Internal Affairs of Russia. 2. Р. 154—162.
12. PuzyirYov P. I., Zavyalov S. A. (2017) A method for estimating the carrier frequency and signal arrival time using an FNL-like phase-coded sequence. Dynamics of systems, mechanisms and machines. Omsk State University. Vol 5, 4. Р. 250–264.
13. Luchinin A. S., Truhin M. P. (2016) Algorithm for estimating and recovering the frequency and phase of the carrier wave in digital communication. Computer Image Analysis: Intelligent Solutions in Industrial Networks (CAI–2016): Collection of scientific papers on the materials of the I International Conference, Yekaterinburg, May 5–6 2016. P.126–127.
14. Nagornyuk O.A. (2013) Improving the accuracy of estimating the carrier and symbol frequency of signals with digital modulation. Problems of creation, testing, application and operation of complex information systems: Coll. of sciences. Iss. 8. Р. 62–70.
15. Gorbatiy I.V. (2011) Systems for Remote Sensing of the Earth from Space: Monograph Lviv: SPOLOM. 612 p.
16. INTELSAT. INTELSAT EARTH STANDARTS (ISS) Perfomance characteristics for broadband VSAT (BVSAT) digital carriers // Document IESS–313 (Rev.A) APPROVAL DATE: 08 August 2000.
17. Lee L.N. Shenoy A., Eng M.K. (1989) Digital processor–based programmable BPSK(QPSK) offset–QPSK modems. Comsat Technical Review. 2 (vol. 19). P.57-64.
18. Makarenko S. I. (2018) Opisatelnaya model sistemyi sputnikovoy svyazi Iridium. // Makarenko S. I. Sistemyi upravleniya, svyazi i bezopasnosti. 4. P. 1–34.
19. Gardner F.M. (1977) Hangup in phase–lock loops. IEEE Transactions on Communications, vol. COM-25. Stanford, Oct.1977. P. 1210-1214.
20. Shestakov A. L., Semenov, A. S. Ibryaeva O. L. (2009) Estimation of the carrier frequency of a random pulse sequence by the Prony method. Bulletin YuUrGU. 37(170). Р.106–115.
21. Salomatin S. B. (2002) Digital signal processing in electronic systems. Minsk, BGUIR. 87 p.
22. Aziz W. . Ahmed E., Abbas G., Saleem S., Islam Q. (2012) Performance Analysis of Carrier Frequency Offset (CFO) in OFDM using MATLAB. Journal of Engineering (JOE). Vol. 1, 1. P. 5–10.
23. Jacobsen E., Kootsookos P. (2007) Fast Accurate Frequency Estimators. IEEE Signal Processing Magazine. Vol. 24, 3. P. 123-125.
24. Perov A.I. (2012) Fundamentals of building satellite radio navigation systems. Moscow, Radio Engineering. 240 p.
25. Sheluhin O. I., Lukyantsev N. F., edited by. O. I. Sheluhina. (2000) Digital processing and voice transmission. Moscow, Radio and communications. 345 p.