CONTENT 6-2017

V.M. Bogachev
STABILITY CRITERION OF TYPE MARKOV AND SELECTION OF PARAMETERS OF SELECTIVE MICROWAVE DEVICES (pp. 3-7)

I.V. Bogachkov, V.A. Maystrenko
DETECTION OF “PROBLEM” SECTIONS IN OPTICAL FIBERS USING REFLECTOMETERS OF VARIOUS TYPES (pp. 8-11)

N.A. Vazhenin, V.V. Weitzel, F.B. Serkin
ALGORITHMS FOR ASSESSING THE CURRENT SIGNAL-NOISE RELATIONSHIP IN INFOCOMMUNICATION SYSTEMS (pp. 12-16)

O.V. Varlamov
APPLICATION OF THE DRM STANDARD FOR NAVIGATION DATA TRANSMISSION IN THE COAST – SHIP DIRECTION (pp. 17-22)

S.I. Dinges, A.V. Pestryakov, D.A. Soloviev
PROGRAM “VECTOR-MIMO” VERSION 2.0 MODELING SYSTEM WITH MIMO TECHNOLOGY (pp. 22-27)

M.I. Zhodzishsky, R.V. Kurynin
SEPARATE AND JOINT PHASE SYNCHRONIZATION AND EVALUATION OF THE LOCATION AND SPEED OF MOTION OF GNSS RECEIVERS (pp. 28-34)

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ABSTRACTS & REFERENCES

STABILITY CRITERION OF TYPE MARKOV AND SELECTION OF PARAMETERS OF SELECTIVE MICROWAVE DEVICES

V.M. Bogachev, Bogachev_vm@mail.ru,
National Research University MPEI, Moscow, Russia

Abstract

A simple substantiation of the stability criterion for complex polynomials in Markov parameters is given. The criterion is used to study the stability regions and select the parameters of selective RF and microwave devices by D-decomposition methods. The general case of polynomial positioning of free parameters in the complex characteristic equation of a selective system is considered when the Neymark frequency method is not applicable. The boundaries of the D-partition are determined from the fact that the leading determinant of the Markov or Hermite – Hurwitz matrix is equal to zero. To reveal symbolic determinants, one of the most effective numerical methods was applied – the method of multidimensional DFT conversion. It is shown that a Markov type criterion has potential advantages in the accuracy of calculations, since the order of its matrix is half the order of the Hermite – Hurwitz matrix. The Routh algorithm with the number of basic operations proportional to the square of the order of the Hermite – Hurwitz matrix is unsurpassed in accuracy of calculations.

References

1. Gantmakher F.R. Matrix theory. Moscow: Nauka. 1966.
2. Bogachev V.M. Algebraic stability criteria for complex polynomials and their application in electronics. Radio Engineering and Electronics. 2015. No. 7, pp. 731-741.
3. Balashkov M.V., Bogachev V.M. Investigation of the conditions of self-excitation of multistage amplifiers and ring generators by D-splitting methods. Vestnik MPEI. No. 2. 2016, pp. 74-79.
4. Bogachev V.M., Demidov V.M. Formation of symbolic circuit functions using the multidimensional discrete Fourier transform. Electronic modeling. No. 2. 1988, pp. 99-102.

DETECTION OF “PROBLEM” SECTIONS IN OPTICAL FIBERS USING REFLECTOMETERS OF VARIOUS TYPES

I.V. Bogachkov, bogachkov@mail.ru,
V.A. Maystrenko, mva@omgtu.ru,
OmSTU, Omsk State Technical University, Omsk, Russia

Abstract

An important task of monitoring and early diagnosis of fiber-optic communication lines is to obtain timely and reliable information about the physical condition of optical fibers (optical fibers) located in the laid optical cables. It is believed that OTDR – optical timedomain reflectometers are not able to determine the tension of the organic matter. The Brillouin reflectometry method is used to detect mechanically stressed sections (OM tension) or FOCL sections with a changed temperature. In order to identify common patterns of reflectograms with the assistance of Moskabel-Fujikura CJSC, experimental studies were conducted with a Brillouin optical pulse reflectometer (BOTDR) Ando AQ 8603 and with the usual OTDR EXFO FTB-400 OV sections with altered temperature and tension.

References

1. Bogachkov I.V., Gorlov N.I. Detection of mechanically stressed sections in fiber-optic communication lines based on the analysis of the Brillouin scattering spectrum. Telecommunications. No. 11, 2015. Moscow: Nauka i tekhnologii. 2015, pp. 32-38.
2. Bogachkov I.V., Maistrenko V.A. Detection of “problematic” areas in fiber-optic communication lines based on the analysis of the Brillouin scattering spectrum. T-Сomm. 2015. Vol. 9. No. 11, pp. 19-24.
3. Bogachkov I.V., Gorlov N.I., Sheveleva V.V. Study of heated sections of optical fibers using reflectometers of various types. Sat. reports of the 1st All-Russian. scientific-practical conf. “Optical reflectometry – 2016”. Perm: Harmony Printing Salon. 2016, pp. 19-21.
4. Bogachkov I.V., Maistrenko V.A. Experimental studies of transverse strains of optical fibers. Systems of synchronization, formation and processing of signals. 2015. Vol. 6. No. 2, pp. 55-57.
5. Bogachkov I.V. Problems of analysis of the Brillouin scattering spectrum in optical fibers with biased dispersion. Synchronization, signal generation and processing systems. 2015. Vol. 6. No. 2. pp. 65-68.
6. Bogachkov I.V. Investigations of the influence of longitudinal tensile force in optical fibers on the Brillouin scattering spectrum. Synchronization, signal generation and processing systems. 2015. Vol. 6. No. 2, pp. 69-72.
7. Bogachkov I.V. Investigations of the effect of temperature on the Brillouin scattering spectrum and characteristics of optical fibers. Synchronization, signal generation and processing systems. 2015. Vol. 6. No. 2, pp. 61-64.

ALGORITHMS FOR ASSESSING THE CURRENT SIGNAL-NOISE RELATIONSHIP IN INFOCOMMUNICATION SYSTEMS

N.A. Vazhenin, NVazhenin@topcon.com,
V.V. Weitzel, VVeitsel@topcon.com,
F.B. Serkin, FSerkin@topcon.com,
Topcon Posicioning Systems, Moscow, Russia

Abstract

When implementing and operating a wide class of communication, navigation and radar systems, it is great practical interest to estimate the current signal-to-noise ratio at the system input. The signal-to-noise ratio significantly affects the quality of radio systems functioning and its assessment can be used to monitor the current conditions of their operation and control radio systems, in particular, to adapt changing working conditions.

References

1. Harris F., Dick C. SNR estimation techniques for low SNR signals, 15th International Symposium on Wireless Personal Multimedia Communications (WPMC). Taipei, Taiwan. 2012, pр. 276-280.
2. Benedict T.R., Soong T.T. The Joint Estimation of Signal and Noise from the Sum Envelope. IEEE Transactions on Information Theory. Vol. IT-13, No. 3, July 1967, pр. 447-454.
3. Matzner R., Englberger F. An SNR Estimation Algorithm Using Fourth-Order Moments. Institute for Commun. Engineering ET3, Federal Armed Forces University Munich, 85577 Neubiberg, Germany, IEEE, 1994.
4. Trachanas I., Fliege N.J. A Novel Phase Based SNR Estimation Method for Constant Modulus Constellations. 3rd International Symposium on Communications, Control and Signal Processing, 2008, ISCCSP 2008, 12-14 March, pр. 1179-1183.
5. Ijaz A., Awoseyila A.B., Evans B.G. Improved SNR estimation for BPSK and QPSK signals. Electronic Letters 30th July 2009. Vol. 45. No. 16, pр. 858-859.
6. Wiesel A., Goldberg J., Messer H. Data-aided signal-to-noise-ratio estimation in time selective fading channels. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2002, Orlando, FL, USA, pр. III-2197 – III-2200.
7. Serkin F.B., Vazhenin N.A., Weitzel V.V. Comparative analysis of signal-to-noise ratio estimation algorithms based on quadrature components of the received signal. Electronic journal “Transactions of MAI”. No. 83. 2015. 24 p. URL: http://www.mai.ru/upload/iblock/c80/serkin_vazhenin_veytsel_rus.pdf.

APPLICATION OF THE DRM STANDARD FOR NAVIGATION DATA TRANSMISSION IN THE COAST – SHIP DIRECTION

O.V. Varlamov, vov@mtuci.ru,
Moscow Technical University of Communications and Informatics, Moscow, Russia

Abstract

The basic principles of planning a promising NAVDAT navigation data transmission network based on the use of DRM standard digital broadcasting technology are discussed. The necessity of using real data on atmospheric radio noise in various geographical regions is noted. The possibility of switching to noise immunity mode “B” for the implementation of synchronous operation in large clusters is discussed.

References

1. Rec. ITU-R M.2010 Characteristics of a digital system called “Navigation Data”, which is intended for broadcasting information regarding protection and safety at sea in the coast-ship direction in the 500 kHz band. 2012.
2. Report ITU-R M.2201 Utilization of the 495-505 kHz band by the maritime mobile service for the digital broadcasting of safety and security related information from shore-to-ships. (11/2010) 3. Varlamov O.V., Goreglyad V.D. Extension of the matching band of transmitting broadcasting antenna systems of the DV range for operation in DRM mode. T-Comm. 2013. Vol. 7. No. 1, pp. 18-22.
4. Varlamov O.V. Development of an algorithm and software for designing antenna matching circuits of digital broadcasting transmitters of the DRM standard. T-Comm. 2013. Vol. 7. No. 2, pp. 47-50.
5. Gainutdinov T.A., Garankina N.I., Kocherzhevsky V.G. Investigation of modernization methods for the current AMSSh transmitting broadcasting antenna to work in the DRM standard. T-Comm. 2013. Vol. 7. No. 9, pp. 51-56.
6. Gainutdinov T.A., Garankina N.I., Kocherzhevsky V.G. Two-link matching device for long-wave broadcasting antennas. T-Comm. 2015. Vol. 9. No. 6, pp. 48-56.
7. Gainutdinov T.A., Garankina N.I., Kocherzhevsky V.G., Guseva A.S. Simple broadband matching devices for long-wave broadcasting antennas. T-Comm. 2014. Vol. 8. No. 11, pp. 33-39.
8. Varlamov O.V. Development of requirements for receiving equipment of digital broadcasting networks of DRM standard. T-Comm. 2013. Vol. 7. No. 9, pp. 39-42.
9. Varlamov O.V. Development of the domestic regulatory framework for digital broadcasting of the DRM standard. T-Comm. 2013. Vol. 7. No. 9, pp. 47-50.
10. Varlamov O. The radio noise effect on the coverage area of DRM broadcast transmitter in different regions. T-Comm. 2015. Vol. 9. No. 2, pp. 90-93.
11. Varlamov O.V. Features of frequency-territorial planning of DRM broadcasting networks of the LF and MF ranges. T-Comm. 2013. Vol. 7. No. 9, pp. 43-46.
12. Varlamov O.V. Correct planning of DRM broadcasting networks. Telecommunication. 2014. No. 6, pp. 26-34.
13. Varlamov O.V. Investigation of digital broadcasting DRM in the CB band in the fading area. T-Comm. 2015. Vol. 9. No. 2, pp. 41-45.
14. Varlamov O.V. On the organization of a nationwide digital broadcasting network in the Far East. REDS. 2014. Vol. 4. No. 1, pp. 16-19.
15. Varlamov O.V. The way to organize a global digital broadcasting network in the Far East. T-Comm. 2015. Vol. 9. No. 5, pp. 63-68.

PROGRAM “VECTOR-MIMO” VERSION 2.0 MODELING SYSTEM WITH MIMO TECHNOLOGY

S.I. Dinges, A.V. Pestryakov, D.A. Soloviev, rfdesign@yandex.ru,
Moscow Technical University of Communications and Informatics, Moscow, Russia

Abstract

In the research department at the Department of Radio Equipment and Circuit Engineering MTUCI developed the information and software complex “Vector”, designed for the vector formation and analysis of signals of modern communication systems, testing of individual functional units, radio frequency units and devices in general. The complex allows solving the problems of teaching modern telecommunication technologies in educational institutions. The latest version of the software package adds a number of new functionalities related to the use of MiMo multiple reception and transmission technology. The program “Vector-MiMo” version 2.0 is designed to simulate a MIMO system with Rayleigh fading and non-orthogonal space-time coding – spatial multiplexing and BLAST architecture. In the BLAST system, different information streams are emitted by different transmitting antennas simultaneously and in the same frequency band. The separation of the received information flows on the receiving side is carried out using decoding algorithms. In the current version of the program, the following MIMO information stream decoding algorithms are presented – obtaining an estimate of the information symbol vector X: the method of least squares (Zero Forcing, ZF), the minimum mean square error (Minimum Mean Square Error, MMSE), the maximum likelihood method (Maximum Likelihood, ML) . The result of the program is the dependence of the bit error coefficient BER on the normalized signal-to-noise ratio (Eb / N0).

References

1. Dinges S.I., Kolesnikov I.I., Pestryakov A.V. The software package for the vector formation and analysis of signals of digital communication systems “Vector” version 3.5. T-Comm. 2012. No.9, pp. 56-58.
2. Bakulin M.G., Varukina L.A., Kreindelin V.B. MIMO technology: principles and algorithms. Moscow: Hot line – Telecom, 2014. 244 p.
3. Tse D., Viswanath P. Fundamentals of Wireless Communication. Cambridge, UK: Cambridge Univ. Press, 2005. 323 p.
4. Glisic S.G. Advanced Wireless Communications. 4G Cognitive and Cooperative Broadband Technologies. Chichester, U.K.: John Wiley & Sons, 2007. 865 p.
5. MIMO System Technology for Wireless Communications. USA, FL, Boca Raton: CRC Press, 2006. 378 p.
6. Salz J., Winters J.H. Effect of fading correlation on adaptive arrays in digital mobile radio. IEEE Trans. Veh. Technol. 1994. Vol. 43, pp. 1049-1057.
7. Poborchaya N.E., Pestryakov A.V., Khasyanova E.R. Synthesis and analysis of the compensation algorithm to the QAM signal distortion due to non idealities of quadrature downconversion at awgn and phase noise in the presence of quazideterministic bandpass interference. T-Comm. 2015. Vol. 9. No. 3, pp. 82-85.
8. Dinges S.I., Pestryakov A.V., Soloviev D.A. The software package for vector formation and analysis of signals of digital communication systems “Vector” version 6. MIMO. Synchronization, signal generation and processing systems. 2015. Vol. 6. No. 2, pp. 90-92.
9. Dinges S.I., Pestryakov A.V. The software package for teaching modern telecommunication technologies “Vector” version 5.5. Methodological issues of teaching infocommunications in higher education. 2014. Vol. 3. No. 3, pp. 98-103.
10. Dinges S.I., Pestryakov A.V. Software package for the formation and analysis of signals of modern and promising telecommunication systems. T-Comm. 2015. Vol. 9. No. 3, pp. 62-65.

SEPARATE AND JOINT PHASE SYNCHRONIZATION AND EVALUATION OF THE LOCATION AND SPEED OF MOTION OF GNSS RECEIVERS

M.I. Zhodzishsky, MZhodzishsky@topcon.com,
MAI; Topcon Positioning Systems
R.V. Kurynin, RKurynin@topcon.com,
Topcon positioning systems, Moscow, Russia

Abstract

The receivers of global navigation satellite systems (GNSS) receive and process many signals from navigation satellites GPS (USA), GLONASS (RF), etc. Each of the N signals is processed in a separate channel, and phase synchronization is performed in each channel at the stage of primary processing and estimation of non-energy (phases and frequencies) and energy parameters of the received signal. The totality of these estimates is used at the secondary processing stage to estimate the parameters of the receiver’s movement – its speed and position.

References

1. Boriskin A.D., Weitzel A.V., Weitzel V.A., Zhodzishsky M.I., Milyutin D.S. Equipment for high-precision positioning by signals of global navigation satellite systems: receivers-consumers of navigation information. Moscow: Publishing house MAI-PRINT. 2010. 292 p.
2. Zhodzishshsky M., Ashjaee J. Joint Tracking of the Carrier Phase of the Signals Received from Different Satellit. Patent No. US 6,313,789 B1 Nov. 6, 2001.
3. Zhodzishshsky M., Yudanov S., Veitsel V., Ashjaee J. Co-Op Tracking for Carrier Phase, ION GPS-98. Sept. 15-18, 1998.
4. Weitzel A., Zhodzishsky M.I., Beloglazov V.V., Weitzel V.A. Publication: WO2010074605 A1 of July 1, 2010.
5. Weitzel A., Zhodzishsky M.I., Beloglazov V.V., Nikitin D. Application No. PCT / RU2013 / 000311 dated April 11, 2013. Publication on October 16, 2014 No. WO2014168504 A1.
6. Weitzel A.V., Weitzel V.A., Tatarnikov D.V. Equipment for high-precision positioning by signals of global navigation satellite systems: High-precision antennas. Special methods to improve positioning accuracy. Moscow: Publishing house MAI-PRINT. 2010. 368 p.
7. GLONASS. The principles of construction and operation. Moscow: Publishing. Radio engineering, 2010. 800 p.
8. Zhodzishsky M.I., Zhodzishsky D.M. Modern systems of phase (time) synchronization and estimation of non-energy parameters of signals in GPS/GLONASS receivers. Collection of reports of the international scientific and technical seminar “Synchroinfo 2013”. Yaroslavl 2013.
9. Zhodzishsky M.I., Zhodzishsky D.M., Prasolov V.A. Estimation of non-energy parameters of a harmonic signal. Bulletin of Yar-GU. 2013. No.3, pp. 15-24.
10. Zhodzishsky M.I., Weitzel V.A. Measurement of energy potentials in satellite channels of a navigation receiver. Bulletin of the Yar-GU. 2014. No.4, pp. 21-28.
11. Zhodzishsky D.M., Zhodzishsky M.I. Adaptive phase-locked loop systems and evaluation of non-energy parameters of a signal. Successes in modern radio electronics. 2015. No. 2, pp. 56-63.