A sort of effective method to test clutter distribution category is put forward in this paper.First

a clutter observation sequence is transformed by probability density transform method

and then the distribution category of the original sequence is tested by testing whether the transformed sequence is normal distribution or not.For Rayleigh

Weibull and Log-normal distribution clutter

simulation results showed that the proposed method has higher test precision

less calculation burden and stronger universality compared with

χ

2

and KS test method

and overcomes the above-mentioned test method's shortcomings that they are easily influenced by interval partition

parameter estimation and calculation complexity.Based on clutter test result

the CFAR detector for Multi-cl

ass clutter distribution is designed by using OS-CFAR and log-t CFAR detection methods.For the CFAR detectors of given clutter categories

when they don't match up to input clutter categories

CFAR detection performance is simulated and analyzed.