Development of a method of processing images of laser beam bands with the use of parallel­hierarchic networks

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.188568

Keywords:

parallel-hierarchical networks, atmospheric-optical communication systems, programmable logic circuits, laser beams, classification of images of spots of laser beams

Abstract

A method for processing images of spots of laser beams is presented for systems using a modern and promising form of communication using atmospheric-optical communication lines (AOCL). The method allows to significantly expand the use of laser technology in information transfer systems by increasing speed, their efficiency and the characteristics of the positioning subsystem in them. This is important because under the influence of the atmosphere (rain, fog, dust, snow) the laser beam is deformed, and this, in turn, affects the quality of the results obtained from such systems. The necessity of filtering images received from the transmitter by using adaptive methods of processing information in parallel hierarchical networks is substantiated. In order to accelerate the processing of images of spots of laser beams, a specialized random access memory (RAM) is developed, which is used in modeling the developed method for processing images of spots of laser beams.

Based on the obtained simulation data, the results of predicting the location of the receiver and the system performance obtained with the presented method are 15–20 % better than the results obtained using known methods. As a result of the development of the presented method, it is possible to reduce the number of accesses to RAM by 2 times, and therefore reduce the load on the memory. The operation of reading 2-port memory has been improved, it allows to create a displacement vector of parallel-hierarchical transformation in one cycle, dividing the width of the record and reading the data bus, which in turn increases the RAM efficiency

Author Biographies

Leonid Tymchenko, State University of Infrastructure and Technologies Kyrylivska str., 9, Kyiv, Ukraine, 02000

Doctor of Technical Sciences, Professor

Department of Telecommunication Technologies and Automation

Nikolay Petrovsky, LLC "NETKREKER" Yaroslavska str., 58, Kyiv, Ukraine, 04071

PhD, Computer Systems Analyst

Natalya Kokryatskaya, State University of Infrastructure and Technologies Kyrylivska str., 9, Kyiv, Ukraine, 02000

PhD, Аssociate Рrofessor

Department of Telecommunication Technologies and Automation

Yurii Maistrenko, State University of Infrastructure and Technologies Kyrylivska str., 9, Kyiv, Ukraine, 02000

Postgraduate Student

Department of Telecommunication Technologies and Automation

References

  1. Shaina, Gupta, A. (2016). Comparative Analysis of Free Space Optical Communication System for Various Optical Transmission Windows under Adverse Weather Conditions. Procedia Computer Science, 89, 99–106. doi: https://doi.org/10.1016/j.procs.2016.06.014
  2. Reddy, E. M., Therese, A. B. (2017). Analysis of atmospheric effects on free space optical communication. 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2). doi: https://doi.org/10.1109/icnets2.2017.8067957
  3. Joseph, P. J., Pillai, S. S. (2016). Modeling of broadband power line communication in last-mile networks. 2016 International Conference on Communication Systems and Networks (ComNet). doi: https://doi.org/10.1109/csn.2016.7824002
  4. Timchenko, L. I. (2011). Method of reference tunnel formation for improving forecast results of the laser beams spot images behavior. Optical Engineering, 50 (11), 117007. doi: https://doi.org/10.1117/1.3655502
  5. Timchenko, L. I. (2000). A multistage parallel-hierarchic network as a model of a neuronlike computation scheme. Cybernetics and Systems Analysis, 36 (2), 251–267. doi: https://doi.org/10.1007/bf02678673
  6. Ali, H. A. E. M., Said, E.-S. S. A., Yousef, M. E. (2019). Effect of Environmental Parameters on the Performance of Optical Wireless Communications. International Journal of Optics, 2019, 1–12. doi: https://doi.org/10.1155/2019/1828275
  7. Touati, A., Abdaoui, A., Touati, F., Uysal, M., Bouallegue, A. (2017). On the Effects of Temperature on the Performances of FSO Transmission under Qatar's Climate. 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). doi: https://doi.org/10.1109/vtcspring.2017.8108443
  8. Abdul-Zahra, M. F., Abdullah, M. I., RajiJabbar, A. (2018). Dust effect on the performance of optical wireless communication system. Journal of University of Babylon, 26 (1), 259–268.
  9. Ishak, N. B. M. D., Ibrahim, A. B. B. (2015). The effect of atmosphere conditions on performance of free space optics in Malaysia at 1550nm. International Journal of Advances in Science Engineering and Technology, 3 (3), 29–34.
  10. Sree Madhuri, A., Mahaboob, S. T. (2017). Evaluating the performance of free space optical link in tropical climate. International Journal of Advance Engineering and Research Development, 4 (8), 273–278. doi: https://doi.org/10.21090/ijaerd.76693
  11. Islam, M. N., Al Safa Bhuiyan, M. N. (2016). Effect of operating wavelengths and different weather conditions on performance of point-to-point free space optical link. International Journal of Computer Networks & Communications. 8 (2), 63–75. doi: https://doi.org/10.5121/ijcnc.2016.8206
  12. Timchenko, L. I., Mel'nikov, V. V., Kokryatskaya, N. I., Kutaev, Yu. F., Ivasyuk, I. D. (2011). Metod organizatsii parallel'no-ierarhicheskoy seti dlya raspoznavaniya obrazov. Kibernetika i sistemniy analiz, 1, 152–163.
  13. Timchenko, L. I., Petrovskiy, N. S., Kokriatskaia, N. I. (2014). Laser beam image classification methods with the use of parallel-hierarchical networks running on a programmable logic device. Optical Engineering, 53 (10), 103106. doi: https://doi.org/10.1117/1.oe.53.10.103106
  14. Hejlsberg, A., Torgersen, M. (2010). The C# Programming Language. Addison-Wesley Professional, 864.
  15. Random Integer Generator. Randomness and Integrity Services Ltd. Available at: http://www.random.org/integers/
  16. Karbo, M. (2002). PC Architecture. Know Ware - Competence Micro, 386.
  17. Stratix V Feature Overview. Available at: www.altera.com/products/fpga/stratix-series/stratix-v/features.html
  18. AN 461: Design Guidelines for Implementing QDRII+ and QDRII SRAM Interfaces in Stratix III and Stratix IV Devices. Altera. Available at: http://www.altera.com/literature/an/an461.pdf
  19. Paul, W., Baumann, C., Lutsyk, P., Schmaltz, S. (2016). System Architecture. Springer. doi: https://doi.org/10.1007/978-3-319-43065-2
  20. Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27 (8), 861–874. doi: https://doi.org/10.1016/j.patrec.2005.10.010
  21. Borovikov, V. P. (2003). STATISTICA. Iskusstvo analiza dannyh na komp'yutere. Sankt-Peterburg: Piter, 688.
  22. Borovikov, V. P. (Ed.) (2008). Neyronnye seti. STATISTICA Neural Networks: Metodologiya i tehnologii sovremennogo analiza dannyh. Moscow: Goryachaya liniya – Telekom, 392.

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Published

2019-12-20

How to Cite

Tymchenko, L., Tverdomed, V., Petrovsky, N., Kokryatskaya, N., & Maistrenko, Y. (2019). Development of a method of processing images of laser beam bands with the use of parallel­hierarchic networks. Eastern-European Journal of Enterprise Technologies, 6(9 (102), 21–27. https://doi.org/10.15587/1729-4061.2019.188568

Issue

Section

Information and controlling system