The statistical characteristics of a superhet retransmitting meter signal

Authors

  • Анатолий Федорович Величко O.Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12, Proskura st., Kharkov, Ukraine 61085, Ukraine
  • Дмитрий Анатольевич Величко O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,, Ukraine https://orcid.org/0000-0003-3353-3754
  • Сергей Анатольевич Величко O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,, Ukraine https://orcid.org/0000-0002-2579-2134
  • Алексей Валерьевич Вичкань O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,, Ukraine https://orcid.org/0000-0002-4184-7860
  • Анна Николаевна Клюева O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,, Ukraine https://orcid.org/0000-0001-5224-5251
  • Константин Владимирович Нетребенко O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,, Ukraine https://orcid.org/0000-0001-8873-791X

DOI:

https://doi.org/10.15587/1729-4061.2015.48279

Keywords:

measuring retransmitting system, signal, phase, amplitude, model, reflection, statistical characteristics

Abstract

Using computer simulation, distribution densities of the signal phases and amplitudes of superhet measuring retransmitting systems (MRS) and radar sensors were obtained. The features and relations of such signal characteristics of MRS and radar sensors to random effects on the stable controlled object were obtained, the results of their comparative analysis were given.

The effect of fluctuating reflectors on the statistical signal characteristics of the MRS currently has hardly been studied, but has been well studied for the case of radar sensors. Therefore, it is necessary to take into account the peculiarities of these effects in order to improve the MRS parameters and applications and improve signal processing methods.

The use of the reflector, fluctuating according to the Weibull law has revealed the causes of different forms of differential distribution law of fluctuations of signal phases and amplitudes of MRS and radar sensors. Comparison of the statistical characteristics has shown that the distribution densities of phases and amplitudes of input signals of the retransmitting system are approximately two times larger than the corresponding probability densities of input signals of radar sensors. This relation can be used to estimate the type of effect that caused the fluctuation process.

An explanation of the fluctuation density expansion due to double radio wave reflection by stable and fluctuating parts of the reflecting object at the forward and reverse radio wave propagation was given. It was proposed to use the extension of the differential distribution law of characteristics of signals, received by the MRS to enhance the detection of the processes that cause the reflectivity fluctuation of the monitored objects.

Author Biographies

Анатолий Федорович Величко, O.Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12, Proskura st., Kharkov, Ukraine 61085

Professor, chief researcher

Department of radiosignal processing

Дмитрий Анатольевич Величко, O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,

PhD, senior researcher, associate profesor

Department of radiosignal processing

Сергей Анатольевич Величко, O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,

Candidate of Physical and Mathematical Sciences, senior researcher

Department of rempte sensing of the Earth

Алексей Валерьевич Вичкань, O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,

Junior researcher

Department of radiosignal processing

Анна Николаевна Клюева, O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,

PhD, researcher

Department of radiosignal processing

Константин Владимирович Нетребенко, O. Ya. Usikov Institute for Radiophysics and Electronics of the NASU 12 Proskura str., Kharkov, Ukraine 61085,

PhD, researcher

Department of radiosignal processing

References

  1. Velychko, A. F., Velychko, D. A. (1998). Retransliatsionnyi metod izmereniia i podavleniia pomekhovykh otrazhenii pri nepreryvnom izluchenii s chastotnoi moduliatsiei. Izvestiia vuzov Radioelektronika, 41 (11), 3–12.
  2. Volovach, V. I. (Ed.) (2014). Obrabotka i preobrazovanie signalov v radiotehnicheskih i infokommunikatsionnyh sistemah. Moscow: Radio i svyaz, 448.
  3. Velychko, A. F., Velychko, D. A., Kurbatov, I. V., Shokalo, V. M. (2002). Distantsionnye metody i sredstva dlya issledovaniya protsessov v atmosphere zemli. Chapter 8. Distantsionnaya diagnostika tehnologicheskih parametrov. Kharkov: Bizness Inform, 426.
  4. Velichko, D. A. (2008). Modeling of a multi-frequency retransmitting system characteristics. Radioelektronica, 51 (2), 14–24.
  5. Velichko, D. A. (2008). Primenenie raspredeleniya Weibulla pri otsenke amplitudy summy signala i shuma retranslyatsyonnogo izmeritelya. Radiotehnika, 152, 83–90.
  6. Volovach, V. I. (2013). Metody i algoritmy analiza radiotehnicheskih ustrojst blizhnego dejstviya. Moscow: Radio i svyaz, 228.
  7. Artyushenko, V. M., Volovach, V. I. (2013). Statistical Characteristics of Envelope Outliers Duration of non-Gaussian Information Processes. Proceedings of IEEE East-West Design & Test Symposium (EWDTS’2013). Kharkov: KNURE. 137–140.
  8. Kim, S., Lee, J., Wang H., Hong D. (2009). Sensing Performance of Energy Detector with Correlated Multiple Antennas. IEEE Signal Processing Letters, 16 (8), 671–674. doi: 10.1109/lsp.2009.2021381
  9. Falkovich, S. E., Homyakov, E. N. (1981). Statisticheskaya teoriya izmeritelnyh radiosistem. Moscow: Radio i svyaz, 287.
  10. Velychko, A. F., Velychko, D. A., Velychko, S. A., Vychkan, A. V., Klyueva, A. N., Netrebenko, K. V. (2015). Modelirovanie raboty retranslyatsionnogo izmeritelya supergeterodinnogo tipa s analogo-tsifrovoj obrabotkoj. Eastern-European journal of enterprise technologies, Information and controlling system, 2/9 (74), 46–52. doi: 10.15587/1729-4061.2015.40452
  11. Heerman, D. W. (1990). Metody komp’yuternoho eksperimenta v teoreticheskoi fizike. Мoscow: Nauka, 176.
  12. Binder, K., Heerman, D. W. (1995). Modelirovanie metodom Monte-Karlo v statisticheskoi fizike. Vvedenie. Мoscow: Nauka Fizmatlit, 144.
  13. Skolnik, M. (Ed.) Spravochnik po radilokatsii (1979). Vol. 3. Radiolokatsionnye ustroistva i sistemy. Moscow: Sov. radio, 528.
  14. Weibull, W. (1951). A Statistical Distribution Function of Wide Applicability. J. Appl. Mech., 18, 293–297.
  15. Bendat, J., Pirsol, A. (1989). Prikladnoi analiz sluchainykh dannykh. Мoscow: Mir, 540.
  16. Sveshnikov, A. A. (1968). Applied methods of stochastic function theory. Moscow: Science, 464.
  17. Han, G., & Shapiro, S. (1969). Statisticheskie modeli v inzhenernih zadachah. Moscow: Mir, 396.

Published

2015-08-21

How to Cite

Величко, А. Ф., Величко, Д. А., Величко, С. А., Вичкань, А. В., Клюева, А. Н., & Нетребенко, К. В. (2015). The statistical characteristics of a superhet retransmitting meter signal. Eastern-European Journal of Enterprise Technologies, 4(9(76), 58–63. https://doi.org/10.15587/1729-4061.2015.48279

Issue

Section

Information and controlling system