Nonlinear fusion CFAR detector

Detection of very close targets by fusion CFAR detectors

“…Fusion CFAR detectors give excellent results in terms of probability of detection, values of average decision threshold [1,2,8] and in detection of very close multiple targets, as shown in this paper. Fusion of particular decisions of the internal CA, OS and TM-CFAR algorithms within fusion CFAR detectors provides better final decision and detection for multiple target situations.…”

“…Block diagram of OS-CFAR is shown in Fig.2. In this implementation of CFAR detectors, instead of calculating the mean signal in cells, a cell ordering is done by sorting them in ascending order X (1) , X (2) , ..., X (N) of the amplitude. The main idea of the concept of OS-CFAR detector is the selection of a particular value X (k) , k {1,2,...,N}, to obtain the estimated value of an average power of the clutter in the observed window detection.…”

“…where [2] is some kind of a modification of LF-CFAR detector. Approach of the NLF-CFAR detector is based again on the parallel operation of the same three types of CFAR detectors.…”

“…It can be seen that detection curve of NLF-CFAR detector is approximately 4 dB above the detection curves of individual CFAR detector for P d =0.5. The desired value of the probability of false alarm rate for NLF-CFAR detector P faDES [2] can be obtained by solving the following equation per ' fa P :…”

“…In this paper a detection of very close targets per azimuth and per range using the Linear and NonLinear Fusion Constant False Alarm Rate (LF-CFAR and NLF-CFAR) detectors [1,2] and single CA-CFAR (Cell Averaging CFAR) [3], OS-CFAR (Ordered Statistic CFAR) [4] and TM-CFAR (Trimmed Mean CFAR) is considered [5]. The entire simulation is done on the basis of the software defined radar receiver [6].…”