摘要
选用了适用于多参数估计的遗传算法对Ku波段实测杂波数据进行K分布以及对数正态分布模型进行参数估计。为减少搜索范围,采用了计算量小的矩估计方法确定参数初始值;以常用的最小均方误差为目标函数。结果显示在遗传代数为50左右适应度函数收敛到稳定值,且拟合曲线与杂波数据直方图很好吻合。验证了遗传算法用于杂波模型参数估计的适用性。
In this paper, a genetic algorithm （GA） which is suitable for muhi-parameter estimation is applied to estimate K and log-normal model parameters of measured Ku-band clutter data. The parameter is initialized by MOM to decrease the range of search; the minimum averaged square error（MSE） is chosen as the objective function. Results show that the fitness function will converge to a stable value when the number of generations is around 50 and the curves have a good fit to the histogram of radar data, which testify the wide applicability of GA for parameter estimation of radar clutter.
出处
《现代雷达》
CSCD
北大核心
2009年第12期53-56,共4页
Modern Radar
基金
国防预研基金9140A07030207DZ0203资助
