CAJ | 학술논문

在高分辨率雷达中，复合K分布模型对海杂波的实测数据具有良好的拟合效果。使用K分布来描述海杂波幅度特性时，关键在于其分布参数的估计。本文在研究海杂波K分布模型、遗传算法的基础上，针对遗传算法中二进制编码、适应度函数标定存在的缺陷进行改进，然后将多种群遗传算法应用于参数估计，并利用CSIR组织公布的雷达实测数据进行仿真。仿真结果与统计量估计法以及标准遗传算法进行比较表明，利用改进遗传算法得到的拟合曲线与杂波数据直方图吻合较好，改进遗传算法在海杂波模型参数估计中具有较好性能。
재고분변솔뢰체중，복합K분포모형대해잡파적실측수거구유량호적의합효과。사용K분포래묘술해잡파폭도특성시，관건재우기분포삼수적고계。본문재연구해잡파K분포모형、유전산법적기출상，침대유전산법중이진제편마、괄응도함수표정존재적결함진행개진，연후장다충군유전산법응용우삼수고계，병이용CSIR조직공포적뢰체실측수거진행방진。방진결과여통계량고계법이급표준유전산법진행비교표명，이용개진유전산법득도적의합곡선여잡파수거직방도문합교호，개진유전산법재해잡파모형삼수고계중구유교호성능。
In the high-resolution radar,composite K distribution model can achieve good results on the experimental data of sea clutter. To describe the amplitude characteristics of the sea clutter by K distribution,the key is to determine the parameters of the distribution. This paper discuss the K distribution model and genetic algorithm,as well as improving algorithm point at the binary coding and fitness function. Finally an improved poly-population genetic algorithm is applied to parameter estimation,with the radar raw data released by the CSIR organization,to compare with the moment estimation and GA method, the result of simulate estimation has passed the mean square deviation test and the curves have a good fit to the histogram of radar data, which testify the wide applicability of improve GA for parameter estimation of radar clutter.