Clutter Amplitude Characteristics Analysis

Radar receives data not only target signal,but also clutter and noise.How to eliminate the influence of these interference factors and find the target signal accurately is one of the main tasks of radar data analysis.The effective judgement of clutter in radar data can improve the effect of target detection and recognition,which is a very concerned problem in the field.In view of the complexity of natural environment,there are many kinds of clutter,including sea clutter,ground clutter,meteorological clutter and chaff clutter and so on.Clutter data exhibit a certain regularity which can be described by the amplitude distribution function.The common clutter obeys rayleigh distribution,lognormal distribution,weibull distribution and rice distribution and so on.This paper mainly studies the goodness of fit test method of radar clutter amplitude distribution.In this paper,firstly,numerical simulation is used to construct data subject to rayleigh distribution,lognormal distribution,weibull distribution and rice distribution,and the parameters are estimated.Then,MSD test,K-S test and AD test were used to test the goodness of fit.By comparing the misjudgement rate of the test results,the applicability of the three test methods under different distributions were obtained.Secondly,the three methods are applied to the energy density data obtained from actual data transformation and calculation.Combined with the previous research results,it is found that lognormal distribution is the best for the radar data fitting.The research method in this paper has some reference value for the detection and identification of clutter in the future radar field.