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International Journal of ADVANCED AND APPLIED SCIENCES Int. j. adv. appl. sci. 2313626X 23133724 11 2017 11 2017 4 11 Automatic detection of the unknown number point targets in FMICW radar signals Faculty of Electrical Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic et al. Rejfek 11 2017 11 2017 116 120 10.21833/ijaas-crossmark www.science-gate.com false IASE www.science-gate.com Automatic detection of the unknown number point targets in FMICW radar signals International Journal of Advanced and Applied Sciences https://doi.org/10.21833/ijaas.2017.011.018 Article © 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/). 10.21833/ijaas.2017.011.018 http://www.science-gate.com/IJAAS/V4I11/Rejfek.html