Sea Clutter Modeling with GP-R Distribution Based on Measured Data
By analyzing the statistical characteristics of sea clutter,a more accurate model can be established to im-prove the performance of target detection.The amplitude distribution is a very important characteristic of sea clutter which is usually represented by probability density function(PDF),and it is a more practical method to analyze the amplitude us-ing measured data.This paper proposes a joint distribution model based on generalized Pareto and Rayleigh,named GP-R distribution model.Measured by IPIX data,measured bistatic sea clutter data and nonlinear particle swarm optimization al-gorithm for the fitting of distribution model,such as RL,lognormal,Weibull,K,generalized Pareto.Finally compare different sea conditions and different polarization mode of the results of goodness-of-fit test,the results show that GP-R model in the aspect of sea clutter amplitude distribution fitting has a certain advantage.
NETL
NSTL
万方数据
