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

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 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

 Affiliation(s):

 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

 https://doi.org/10.21833/ijaas.2017.011.018

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Abstract:

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 (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 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: 

 https://doi.org/10.21833/ijaas.2017.011.018

 Citation:

 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

 Permanent Link:

 http://www.science-gate.com/IJAAS/V4I11/Rejfek.html

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 References (5)

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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. https://doi.org/10.1109/Radioelek.2014.6828452 
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