Intelligent and fast two-dimensional CFAR procedure

Abstract

In this paper, a intelligent and fast two-dimensional constant false alarm rate (CFAR) processor to perform adaptive threshold target detection is presented. It employs a composite approach based on the well-known cell averaging CFAR (CA-CFAR) and ordered statistic CFAR (OS-CFAR) processors. In this case, any masking effects in multi-target situations can be avoided without increasing the computation complexity. Besides, utilization of binary integration results in a higher detection performance. The simulation results verify the validity of the algorithm.