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CFAR Detection in the Framework of Time-Frequency Analysis

Abstract : This paper deals with the resolution improvement of metric radars and proposes a new architecture that contains the constant false alarm rate (CFAR) technique conjointly with time-frequency analysis. The clutter map (CMAP) CFAR is used to detect the existence of targets; in this case, we search if there are one or more targets inside this cell using Gabor-based detector. Each target is considered to be fluctuating according to Swirling I model. The performance of the proposed system is evaluated and tested on simulated data using Monte-Carlo simulations under various clutter scenarios. In all cases, the obtained results show clearly that the new proposed detector outperforms the conventional OS-CFAR detector in terms of azimuth and range resolution.
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Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Friday, November 12, 2021 - 6:30:22 PM
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Hadj Larbi Beklaouz, M'Hamed Hamadouche, Malika Mimi, Abdelmalik Taleb-Ahmed. CFAR Detection in the Framework of Time-Frequency Analysis. International Review of Electrical Engineering, Praise Worthy Prize, 2016, 11 (3), pp.323-330. ⟨10.15866/iree.v11i3.8305⟩. ⟨hal-03426998⟩



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