A new fuzzy CFAR processor for radar MTD systems

This paper proposes a new fuzzy constant false alarm processor (FCFAR) for radar MTD systems. The proposed amplitude processor decides the fixed threshold value for the CFAR using fuzzy logic controller according three input variables. First input is the fast threshold from fifty serially averaged range cells. The second is the slow threshold from concatenated 500 averaged range cells. The third input is the signal to noise ratio at the RF stage of the radar system. The proposed processor is simulated under Matlab program environment on 1 million range cells data in additive white Gaussian noise (AWGN) with non-homogeneous background clutter and from 5 to 30 dB signal to noise ratio (S/N). The results show the superiority of the proposed FCFAR than the traditional systems used during the last decade.