CFAR Detection in the Framework of Time-Frequency Analysis
Résumé
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.