Approximated Modeling Technique of Weibull Distributed Radar Clutter

Abstract

Clutters are all unwanted radar returns to affect on detection of targets. Radar clutter is characterized by amplitude distributions, spectrum, etc. Clutter is modelled with considering these kinds of characteristics. In this paper, a Weibull distribution function approximated by uniform distribution function is suggested. Weibull distribution function is used to model the various clutters. This paper shows that the data generated by the approximated solution of Weibull distribution function satisfy the Weibull probability density function. This paper shows that the data generation time of approximated Weibull distribution function solution is reduced by 20 % compared with the generation time of original Weibull probability density function.

Target Detection and Tracking Simulation of Air Defense Radar in High-Density Clutter Environments Using a Real-time Simulator

“…이때 표적의 SNR은 클러터 반사신호가 잡음으로 모델링되어, α만큼 감소한   가 된다. 이는 와이블 분포 클러터의 근사적 모델링 기법을 통해 식 (5)와 같이 계산된다 [16] . [16] .…”

“…이는 와이블 분포 클러터의 근사적 모델링 기법을 통해 식 (5)와 같이 계산된다 [16] . [16] . 는 0과 구간에서의 균일난수(uniform random variable) 이다.…”