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EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 4, Issue 11 (November 2017), Pages: 116-120


 Original Research Paper

 Title: Automatic detection of the unknown number point targets in FMICW radar signals

 Author(s): Lubos Rejfek 1, *, Zbysek Mosna 2, Ladislav Beran 1, Ondrej Fiser 1, Martin Dobrovolny 1


 1Faculty of Electrical Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic
 2Department of Aeronomy, Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republics

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This paper deals with algorithm for the detection of unknown number of targets and estimation of parameters of these targets. Automatic detection of the targets in the signal is important for the speed-up of signal processing. Point targets were selected for test of our algorithm. Algorithm was developed for the frequency modulated interrupted continuous wave radar. We present results for different combinations of targets. The results show that the proposed algorithm is successful for detecting targets with signal noise ratio higher than 9 dB. 

 © 2017 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (

 Keywords: FMICW radar, 2D FFT, Signal filtration, Target detection, Target parameter estimation

 Article History: Received 5 February 2017, Received in revised form 13 September 2017, Accepted 15 September 2017

 Digital Object Identifier:


 Rejfek L, Mosna Z, Beran L, Fiser O, and Dobrovolny M (2017). Automatic detection of the unknown number point targets in FMICW radar signals. International Journal of Advanced and Applied Sciences, 4(11): 116-120

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 References (5)

  1. Babur G, Krasnov OA, Yarovoy A, and Aubry P (2013). Nearly orthogonal waveforms for MIMO FMCW radar. IEEE Transactions on Aerospace and Electronic Systems, 49(3): 1426-1437. 
  2. Mandlik M and Brazda V (2015). FMICW radar simulator. In the 25th International Conference on Radioelektronika, IEEE: 317-320. 
  3. Rejfek L, Bezousek P, Fiser O, and Brazda V (2014). FMICW radar simulator at the frequency 35.4 GHz. In the 24th International Conference on Radioelektronika, IEEE, Bratislava, Slovakia: 1-4. 
  4. Rejfek L, Mošna Z, Urbář J, and Koucká Knížová P (2016). System for automatic detection and analysis of targets in FMICW radar signal. Journal of Electrical Engineering, 67(1): 36-41. 
  5. Řezníček M, Bezoušek P, and Zálabský T (2016). Amti filter design for radar with variable pulse repetition period. Journal of Electrical Engineering, 67(2): 131-136.