doi: 10.17586/2226-1494-2021-21-2-303-309


Application of a short-pulse ultra-wideband probing signal for estimating reflective characteristics

M. V. Samoilenko


Read the full article  ';
Article in Russian

For citation:

Samoilenko M.V. Application of a short-pulse ultra-wideband probing signal for estimating reflective characteristics. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 2, pp. 303–309 (in Russian). doi: 10.17586/2226-1494-2021-21-2-303-309



Abstract

The paper presents a method developed for processing coherent short-pulse ultra-wideband signals reflected from a certain control zone, which makes it possible to evaluate the distribution of reflective characteristics over this zone. To implement the method, we used a plurality of integral type receiving sensors and one source of probing coherent short-pulse ultra-wideband signals that irradiates the area of responsibility. The solution to estimating the distribution of reflective characteristics over the control zone is based on the principles of multichannel tomography. This approach implies formulating the mapping equation and its further solution. An essential factor influencing the solution to this problem is the nonstationarity of the probing signal. Taking this factor into account, we developed a method derive an extended mapping equation, which allows one to estimate the distribution of reflection characteristics when using non-stationary probing signals. The work investigated three methods for estimating the distribution of reflective characteristics by the extended mapping equation, namely: Wiener estimation, pseudo-inversion method, and matrix-iterative method. The dependences of estimation errors on measurement errors were obtained in computer experiments for various degrees of filling the control zone with reflective elements. The Wiener estimation and the matrix-iterative method yielded the best results. The developed mathematical model of the propagation of the probing signal shows the effect of changing the shape of the probing pulses when they are reflected from the control zone. The obtained results make it possible to study the distribution of reflective characteristics in space using non-stationary ultra-wideband probing signals.


Keywords: radar cross-section (RCS), ultra-wideband short-pulse signal, multichannel tomography, Wiener estimation, pseudo-inverse method, matrix-iterative method

References
  1. Kostylev A.A. Identification of radar targets applying ultra-wideband signals: methods and applications. Zarubezhnaja radiojelektronika, 1984, no. 4, pp. 75–102. (in Russian)
  2. Moffatt D.L. Young J.D., Ksienski A.A., Lin H.C., Rhoads C.M. Transient response characteristics in identification and imaging. IEEE Transactions on Antennas and Propagation, 1981, vol. 29, no. 2, pp. 192-205. doi: 10.1109/TAP.1981.1142584
  3. Rockmore A.G., Denton R.V., Friedlander B. Direct three-dimensional image reconstruction. IEEE Transactions on Antennas and Propagation, 1979, vol. 27, no. 2, pp. 239-241. doi: 10.1109/TAP.1979.1142051
  4. Kuznetsov Y.V., Baev A.B., Konovaluk M.A. Multi-point scatterer target identification using radar image spectrum. Aerospace MAI Journal, 2010, vol. 17, no. 3, pp. 193–198. (in Russian)
  5. Samoilenko M.V. Distribution evaluation of reflective characteristics with quasi-continuous ultra-wideband probing signal. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 6, pp. 848–856. (in Russian). doi: 10.17586/2226-1494-2020-20-6-848-856
  6. Samoilenko M.V. Tomography and Aerospace Antenna Systems. Moscow, MAI Publ., 2011, 148 p. (in Russian)
  7. Samoilenko M.V. Signal Processing in Problems of Location Measurements and Estimation. Moscow, Spectr Publ., 2016, 260 p. (in Russian)
  8. Nechaev S.S., Anisimov S.Iu. Operation features of subsurface object detection complexes applying ultra-wideband signals. Pozharnaja Bezopasnost’: Problemy i Perspektivy, 2013, no. 1(4), pp. 289–294. (in Russian)
  9. Lazorenko O.V., Chernogor L.F. The ultrawideband signals and physical processes. 2. Analysis methods and application. Radio Physics and Radio Astronomy, 2008, vol. 13, no. 4, pp. 270-322. (in Russian)
  10. Immoreev I.Ia. The possibilities and features of ultra-wideband radio systems. Prikladnaja radiojelektronika, 2002, vol. 1, no. 2, pp. 122-139. (in Russian)
  11. Gantmakher F.R. Matrix Theory. Moscow, Nauka Publ., 1988, 552 p. (in Russian)
  12. Samoilenko V.I., Puzyrev V.A., Grubrin I.V. Technical Cybernetics. Moscow, MAI Publ., 1994, 280 p. (in Russian)
  13. Samoilenko M.V. Matrix-iterative solution method for system of linear equations and its application in space tomography scanning using radar. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 3, pp. 437-446. (in Russian). doi: 10.17586/2226-1494-2018-18-3-437-446


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2024 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика