Abstract
Constant false alarm rate (CFAR) detection is an important method which is widely used in radar automatic detection. However, the performance of CFAR detection degrades dramatically in non-homogeneous environment because of the existence of interference targets and clutter in the reference window of the test cell. To the end, an intelligent multistrategy fusion (IMSF) CFAR detection algorithm is proposed in this paper. By combining the preprocessing results of FOCA-CFAR, BOCA-CFAR and OSVI-CFAR, IMSF-CFAR can utilize more suitable independent, identically distributed reference cells than conventional CFAR method, which means better detection performance. The simulation results reveal that the IMSF-CFAR maintains stable detection performance both in the homogeneous and heterogeneous environments.
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