An Efficient CFAR Algorithm for Piecewise Homogeneous Environments
نویسندگان
چکیده
A new constant false alarm rate (CFAR) detection algorithm operating in non-homogeneous clutter is proposed in this paper. The proposed CFAR algorithm, CUT-inclusive (CI) CFAR, utilizes a goodness-of-fit test for determining and combining homogeneous windows, resulting in a higher detection performance. The CI-CFAR algorithm layout and analytical properties for the ideal case are investigated. In comparison to the traditional Cell-averaging (CA) CFAR and Order-statistic (OS) CFAR, it is demonstrated that CI-CFAR outperforms both in most situations. Also, the relationship between efficient sorting and homogeneity is investigated.
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