350 rub
Journal Radioengineering №4 for 2018 г.
Article in number:
The algorithm of selection of radar objects in a dense group on the basis of the doppler beam sharpening
Type of article: scientific article
UDC: 621.396.96
Authors:

V.P. Fedosov – Dr.Sc.(Eng.), Professor, Department of radio engineering theory, 

Radio Engineering Systems and Management Institute of SFU (Taganrog)

E-mail: vpfedosov@sfedu.ru, vpfed@mail.ru

D.G. Kovtun – Post-graduate Student, Department of radio engineering theory, 

Radio Engineering Systems and Management Institute of SFU (Taganrog) E-mail: dan-kav@ya.ru

Abstract:

Increasing the resolution of radar objects in a dense group to determine their numbers is of great importance in modern conditions. The article proposes a modified algorithm for constructing a range-Doppler portrait of a group target based on a well-known algorithm (iterative adaptive algorithm). The model of an accelerating target is considered. The proposed algorithm allows to identify an accelerating targets and targets with a constant speed, get various distance-Doppler portraits. Simulation is proposed for the algorithm, a qualitative difference is shown between the base and modified algorithm, the root-mean-square deviation of the Doppler frequency of objects in the group is estimated.

Pages: 129-134
References
  1. Rausher K., Janssen F., Minixol’d R. Osnovy’ spektral’nogo analiza // M.: Goryachaya liniya – Telekom. 2006.
  2. Aleksandrov B. Bortovy’e RLS s AFAR dlya takticheskix istrebitelej Yaponii i SShA // Zarubezhnoe voennoe obozrenie. 1996. № 3. S. 39−40.
  3. Markovich I.I., Kovalenko E.I., Kuzneczov A.P., Fedosov V.P. Algoritmy’ czifrovoj obrabotki signalov, otrazhenny’x ot gruppy’ blizkoraspolozhenny’x ob’‘ektov // Materialy’ Vtoroj Vseros. nauchno-prakticheskoj konf. «Perspektivny’e sistemy’ i zadachi upravleniya». 2007. S. 102−104.
  4. Markovich I.I., Kovalenko E.I., Kuzneczov A.P., Fedosov V.P. Razreshenie signalov s ispol’zovaniem ix dal’nostno-chastotnogo portreta // Materialy’ Mezhdunar. nauchno-texnich. konf. «Mnogoproczessorny’e vy’chislitel’ny’e i upravlyayushhie sistemy’ (MVUS)». Taganrog. 2007. S. 196−200.
  5. Tomson D.D. Spektral’noe oczenivanie i garmonicheskij analiz // TIIE’R. 1982. T. 70. № 9. S. 171.
  6. QiL. et al. Super-resolution Doppler beam sharpening imaging based on an iterative adaptive approach // Remote Sensing Letters. 2016. T. 7. № 3. S. 259−268.
  7. Yardibi T. et al. Source localization and sensing: A nonparametric iterative adaptive approach based on weighted least squares // IEEE Transactions on Aerospace and Electronic Systems. 2010. T. 46. № 1.
  8. Kondratenkov G.S. Radiolokaczionny’e stanczii obzora Zemli. Radio i svyaz’. 1983.
  9. Roberts W. et al. Iterative adaptive approaches to MIMO radar imaging // IEEE Journal of Selected Topics in Signal Processing. 2010. T. 4. № 1. S. 5−20.
  10. Lou S. et al. Moving Target Indication for Multichannel FMCW SAR via Iterative Adaptive Approach // Proceedings of 11th European Conference on Synthetic Aperture Radar (EUSAR). VDE. 2016. S. 1−4.
  11. Yang H. et al. Doppler beam sharpening imaging based on fast iterative adaptive approach // IEEE Radar Conference. 2017. S. 1419−1423.  
Date of receipt: 10 января 2018 г.