Advertisement

Radioelectronics and Communications Systems

, Volume 61, Issue 12, pp 529–546 | Cite as

Estimation of Potential Efficiency of Interperiod Processing of Coherent Batch Radio Pulses against Background of Clutter in Pulse-Doppler Radars with Medium Frequency of Probing

  • V. P. RiabukhaEmail author
  • V. V. Tsisarzh
  • Ye. A. Katiushyn
  • V. I. Zarytskyi
Article
  • 9 Downloads

Abstract

The potential efficiency of optimal interperiod processing (IPP) of coherent batch radio pulses reflected from point air targets against the background of high-power clutter is analyzed during the radar operation in the pulse-Doppler mode with middle frequency of probing at ambiguous measurements of target range and velocity. This efficiency is compared with IPP efficiency during the radar operation in the coherent pulse mode. The analysis is performed at constant and variable probing intervals when the time span of the clutter source zone is both less and greater than the probing interval in pulse-Doppler radar, i.e. in the absence and presence of superposition of clutter from different range sections. The cases of complete match of parameters of clutter superposition are analyzed at different radial velocities of equipotent clutter layers, and also the cases of superposition of nonequipotent clutter layers, the powers of which are inversely proportional to the squared distance from their sources. In addition, the wobbling of intervals of signal probing is also taken into account.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ya. D. Shirman, S. T. Bagdasaryan, A. S. Malyarenko, D. I. Lekhovytskiy, et al., Radioelectronic Systems. Basic Structure and Theory [in Russian, ed by Ya. D. Shirman] (Radiotekhnika, Moscow, 2007).Google Scholar
  2. 2.
    P. A. Bakulev and V. M. Stepin, Methods and Devices for Moving Target Indicator [in Russian] (Radio i Svyaz’, Moscow, 1986).Google Scholar
  3. 3.
    M. I. Skolnik, Introduction to Radar Systems (McGraw–Hill, New York, 1962).Google Scholar
  4. 4.
    M. I. Skolnik, Introduction to Radar Systems, 3rd ed. (McGraw–Hill, New York, 2001).Google Scholar
  5. 5.
    M. I. Skolnik, Radar Handbook, 3rd ed. (McGraw–Hill, New York, 2008).Google Scholar
  6. 6.
    D. K. Barton, Radar System Analysis and Modeling (Artech House, Boston; London, 2005).CrossRefGoogle Scholar
  7. 7.
    V. V. Vasin, O. V. Vlasov, V. V. Grigorin–Ryabov, P. I. Dudnik, B. M. Stepanov, Radars (Theory and Design Principles) [in Russian] (Sov. Radio, Moscow, 1970).Google Scholar
  8. 8.
    V. V. Litvinov, “Potential and real efficiency of coherent pulse systems of MTI in surveillance radars at unambiguous range measurement,” Radiotekhnika, No. 100, 158 (1996).Google Scholar
  9. 9.
    V. V. Litvinov, “Radars for air space control: retrospection and modern problems of integration and unification,” Prikladnaya Radioelektronika 3, No. 4, 61 (2004).Google Scholar
  10. 10.
    V. V. Litvinov, “The first designs of correlation self–compensators of clutter (1964–1974), and the range of MTI problems at low sampling frequency in surveillance radars,” Prikladnaya Radioelektronika 8, No. 4, 461 (2009).Google Scholar
  11. 11.
    D. I. Lekhovytskiy, “Thirty years experience in development of adaptive lattice filters theory, techniques and testing in Kharkiv,” in: Proc. of 2011 VIII Int. Conf. on Antenna Theory and Techniques, ICATT, 20–23 Sept. 2011, Kyiv, Ukraine (IEEE, 2011). DOI: 10.1109/ICATT.2011.6170713.Google Scholar
  12. 12.
    D. I. Lekhovytskiy, D. S. Rachkov, A. V. Semeniaka, D. V. Atamanskiy, V. P. Riabukha, “Quasioptimal algorithms for batch coherent signals interperiod processing against background clutter,” Proc. of Int. Radar Symp., 16–18 Jun 2014, Gdansk, Poland (IEEE, 2014), pp. 25–30. DOI: 10.1109/IRS.2014.6869195.Google Scholar
  13. 13.
    S. M. Kashaev, A. D. Pluzhnikov, A. G. Ryndyk, “Signal detection in clutter during the separation into spatial and time processing,” Radiotekhnika, No. 4, 55 (1990).Google Scholar
  14. 14.
    D. I. Popov, S. M. Smolskiy, “Estimation of the clutter correlation coefficient in radar systems,” Infocommun. J. 8, No. 3, 8 (2016).Google Scholar
  15. 15.
    J. Xu, L. Ren, H. Fan, E. Mao, Q. Liu, “Clutter and range ambiguity suppression using diverse pulse train in pulse Doppler system,” Sensors 18, No. 7, 2326 (2018). DOI: 10.3390/s18072326.CrossRefGoogle Scholar
  16. 16.
    N. E. Bystrov, I. N. Zhukova, V. M. Reganov, S. D. Chebotarev, “Range and Doppler ambiguity elimination in coherent radar using quasicontinuous signals,” J. Mech. Eng. Res. Developments 40, No. 4, 562 (2017).Google Scholar
  17. 17.
    J. Xu, G. Liao, H. C. So, “Space–time adaptive processing with vertical frequency diverse array for range–ambiguous clutter suppression,” IEEE Trans. Geosci. Remote Sensing 54, No. 9, 5352 (2016). DOI: 10.1109/TGRS.2016.2561308.CrossRefGoogle Scholar
  18. 18.
    V. G. Gartovanov, V. D. Batyev, “Necessity and possibility of taking into account of space and time domain parameters of interfering reflections from the underlying surface in the design of anti–interference airborne radar stations for air surveillance,” Radioelectron. Commun. Syst. 59, No. 6, 256 (2016). DOI: 10.3103/S07352727 16060042.CrossRefGoogle Scholar
  19. 19.
    P. I. Dudnik, G. S. Kondratenkov, B. G. Tatarskii, et al., Aircraft Radar Complexes and Systems [in Russian, ed. by P. I. Dudnik] (VVIA im. N.E. Zhukovskogo, Moscow, 2006).Google Scholar
  20. 20.
    B. M. Vovshin, A. A. Pushkov, I. S. Vylegzhanin, Y u. B. Pavlyukov, “Discrimination of echo–signals in mixture of reflections from meteorological objects at unambiguous and ambiguous ranges in pulse–Doppler weather radars,” Proc. of XXVIII All–Russian Symp. on Radiolokatsionnoe Issledovanie Prirodnykh Sred, 16–17 Apr. 2013, Saint Petersburg, Russia. Saint Petersburg, 2013, pp. 373–378.Google Scholar
  21. 21.
    G. M. Jenkins and D. G. Watts, Spectral Analysis and Its Applications, Vol. 2 (Holden–Day, 1969).zbMATHGoogle Scholar
  22. 22.
    D. I. Lekhovytskiy and I. G. Kirillov, “Simulation of clutter by pulse radar based on autoregressive processes of arbitrary order,” Systemy Obrobky Informatsii: Zbirnyk Naukovykh Prats, No. 3, 90 (2008).Google Scholar
  23. 23.
    D. S. Rachkov, D. I. Lekhovytskiy, A. V. Semeniaka, V. P. Riabukha, “Statistical analysis of ground clutter and point targets impact on accuracy of weather echoes parameters estimation,” Proc. of Int. Radar Symp., IRS–2015, 24–26 June 2015, Dresden, Germany (IEEE, 2015), pp. 604–609. DOI: 10.1109/IRS.2015.7226400.Google Scholar
  24. 24.
    D. I. Lekhovytskiy, D. V. Atamanskiy, V. P. Riabukha, D. S. Rachkov, A. V. Semeniaka, “Combining target detection against the background of jamming signals and jamming signal DOA estimation,” in: Proc. of 2015 Int. Conf. on Antenna Theory and Techniques, ICATT, 21–24 Apr. 2015, Kharkiv, Ukraine (IEEE, 2015), pp. 36–40. DOI: 10.1109/ICATT.2015.7136777.Google Scholar
  25. 25.
    R. J. Doviak and D. S. Zrnic, Doppler Radar and Weather Observation (Academic Press, Inc., 1984).Google Scholar
  26. 26.
    F. E. Nathanson, J. P. Reilly, M. N. Cohen, Radar Design Principles. Signal Processing and the Environment, 2nd ed. (McGraw–Hill, New York, 1999).Google Scholar
  27. 27.
    A. V. Ryzhkov, “Meteorological objects and their radar characteristics,” Zarubezhnaya Radioelektronika, No. 4, 6 (1993).Google Scholar
  28. 28.
    Z.–W. Li, Y. Yang, Y.–Z. Li, C. Li, “Radar clutter statistical characteristics and modeling,” Proc. SPIE 10468, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing, AOPC 2017, 4–6 June 2017, Beijing, China (AOPC, Beijing, 2017), Vol. 10458, 104580F. DOI: 10.1117/12.2282507.Google Scholar
  29. 29.
    G. Zhu, Y. Chen, H. Yin, “Analysis of typical ground clutter statistical characteristics,” Proc. of Int. Applied Computational Electromagnetics Society Symp., 1–4 Aug 2017, Suzhou, China (IEEE, 2017). URI: https://doi.org/ieeexplore.ieee.org/document/8051907.Google Scholar
  30. 30.
    J. Capon, “High–resolution frequency–wavenumber spectrum analysis,” Proc. IEEE 57, No. 8, 1408 (1969). DOI: 10.1109/PROC.1969.7278.CrossRefGoogle Scholar
  31. 31.
    D. I. Lekhovytskiy, Y. S. Shifrin, “Statistical analysis of ‘superresolving’ methods for direction–of–arrival estimation of noise radiation sources under finite size of training sample,” Signal Processing 93, No. 12, 3382 (2013). DOI: 10.1016/j.sigpro.2013.03.008.CrossRefGoogle Scholar
  32. 32.
    B. M. Vovshin, D. I. Lekhovytskiy, G. A. Zhuga, V. V. Lavrukevich, “MTI in pulsed radars: 8. Specific features of protection of ultrawideband radars from clutter,” Prikladnaya Radioelektronika 10, No. 4, 543 (2011). URI: https://doi.org/openarchive.nure.ua/handle/document/4721.Google Scholar

Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  1. 1.Kvant Radar Systems Scientific Research InstituteKyivUkraine
  2. 2.Kharkiv National University of RadioelectronicsKharkivUkraine

Personalised recommendations