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

0479146 - ÚFA 2018 RIV TW eng J - Journal Article
Rejfek, L. - Mošna, Zbyšek - Beran, L. - Fišer, O. - Dobrovolný, M.
Automatic detection of the unknown number point targets in FMICW radar signals.
International Journal of Advanced and Applied Sciences. Roč. 4, č. 11 (2017), s. 116-120. ISSN 2313-626X. E-ISSN 2313-3724
R&D Projects: GA ČR(CZ) GA15-24688S
Institutional support: RVO:68378289
Keywords : FMICW radar * 2D FFT * signal filtration * taraget detection * target parameter estimation
OECD category: Meteorology and atmospheric sciences
http://science-gate.com/IJAAS/Articles/2017-4-11/18%202017-4-11-pp.116-120.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0275145