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ISSN 2415-3400 (Online)
ISSN 1028-821X (Print)

NOISE AND SIGNAL FOR RESCUERS RADAR

heading: 
RADIOWAVE PROPAGATION, RADIOLOCATION AND REMOTE SENSING
Sytnik, OV
Organization: 

O. Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine
12, Proskura st., Kharkov, 61085, Ukraine
E-mail: ssvp11@ire.kharkov.ua
https://doi.org/10.15407/rej2017.01.038
Language: Russian
Abstract: 

The adequate models of information signals and noise have been developed to solve the actual problem of the synthesis of hardware and software for operative detection of affected peop-le in man-made or natural disasters. It is shown that at low frequencies, where are placed the  spectral components of the information signal generated by breathing and heartbeat, an adequate model of the fluctuation noise is a flicker noise model built on the basis of recurrent equations of Perron-Frobenius operator. The spectral characteristics of the information signal and noise are investigated. The information signal model is built on the theory of periodically correlated random processes and verified on experimental data. A signal processing algorithm has been proposed.  The algorithm is based on a process of cross-sampling summing.  A criterion to assess the duration of the period of the signal is proposed. The criterion is a function of the signal dispersion from the lattice function period. The ergodic property of the process on an equidistant grid is theoretically proved and experimentally confirmed. The optimal estimate of period duration is an argument of the global maximum of the polymodal criterion function. The simulation results are confirmed by the experimental data.
Keywords: algorithm, criterion, cross-sampling summing, ergodic process, flicker-noise, PerronFrobenius ope-rator, radar

Manuscript submitted 28.02.2017
Radiofiz. elektron. 2017, 22(1): 38-44
Full text (PDF)

References: 
  1. SYTNIK, O. V., 2015. Adaptive Radar Techniques for Human Breathing Detection. Journal of Mechatronics. vol. 3, no. 4, pp. 1–6.
  2. BUGAEV, A. S., VASIL'EV, I. A., IVASHEV, S. I., RAZEVIG, V. V., SHEJKO, A. P., 2003. Detection and Remote Diagnostic Human being state from the obstacles by Radar. Radiotehnika. No. 7, pp. 42–47 (in Russian).
  3. SHHERBAKOV, G. N., 1998. Objects Detection in Covered Medias. Мoscow: Arbat-Inform (in Russian).
  4. BUGAEV, A. S., VASIL'EV, I. A., IVASHOV, S. I., CHAPURSKIJ, V. V., 2006. Radar Methods for Detection of Breathing and Heartbeat. Radiotehnika i jelektronika. vol. 51, no. 10, pp.1224–1239 (in Russian).
  5. VJAZ'MITINOV, I. A., MIROSHNICHENKO, E. I., SYTNIK, O. V., 2012. Statistical Properties of Spectral Estimates of Information Signals for Sounding of Slowly Moving Targets. Fizicheskie osnovy priborostroenija. vol. 1, no. 4, pp. 78–85 (in Russian).
  6. MURAO, K., KOHDA, T., 1984. Intermittancy with 1/f Power Spectrum in One-Dimensional Discrete Dynamycal Systems. Proc. of the International Symposium on Noise and Clutter Rejection in Radars and Image Sensors. Japan, Tokyo. pp. 94–99.
  7. ANIKIN, V. M., REMIZOV, A. S., ARKADAKSKIJ, S. S., 2007. Perron-Frobenius Operator Eigenvalues under Spline Performance. Izvestija vuzov. Prikladnaja nelinejnaja dinamika. vol. 15, no. 2, pp. 62–75 (in Russian).
  8. MALAHOV, A. N., 1967. Fluctuations in Systems Oscillation. Мoscow, USSR: Nauka (in Russian).
  9. RENYI, A., 1957. Representation for Real Numbers and their Ergodic Properties. Acta. Math. Acad. Sci. Hungar. No. 8, pp. 474–493.
  10. SYTNIK, O. V., 2011. Problems of Low Doppler Targets Identification. Radar Science and Technology. vol. 9, no. 6, pp. 387–398.
  11. WOODWARD, P. M. 1953. Probability and Information Theory with Applications to Radar. New York: Pergamon Press.
  12. WILSON, R., RICHTER, J., 1979. Generation and Performans of Quadraphase Welty Codes for Radar and Synchronization of Coherent and Differentially Coherent PSK. IEEE Trans. Comm. Sept., vol. 27, no. 9, pp. 641–647.
  13. DRAG'AN, Ja. P., 1997. Energy Theory of Stochastic Models of Signals. L'viv, USSR: Centr strategichnyh doslidzhen' eko-bio-tehnichnyh system (in Ukrainian).
  14. Gardner, W. A., 1987. Spectral Correlation of Modulated Signals. Part I. Analog Modulation. IEEE Transactions on Communications. June, vol. 35, no. 6, pp. 584–594.