摘要
提出了一种利用多个雷达频率杂波反演蒸发波导高度的改进算法,并用基于非支配排序的多目标优化差分进化算法(MODE)进行实现。以X波段(10525MHz)和K波段(24150 MHz)的雷达频率为例,对目标函数特性进行分析,结果显示:目标函数是一个多峰函数,且不同的频率其多峰特性不同;同时用MODE算法进行多目标函数优化仿真反演,并与传统的基于单目标函数优化反演的差分进化算法(SODE)进行对比分析,证明多目标优化反演算法能具有更高的精度和稳定性。
An improved method to inverse evaporation duct height is developed using multi-frequency radar clutter. And a multi-objective optimization differential evolution （MODE） algorithm based on non-dominated sorting approach is used to implement the inversion. Assuming the radar operating in X band （10525 MHz） and K band （24150 MHz） simultaneously, the characteristics of objective functions used in inversion are analyzed, and the results show that the objective functions are a multi-peak function which is different from radar frequencies. Inversions are sim- ulated using MODE algorithm, and the simulated inversion results are compared with those obtained from conventional differential evolution algorithm using single- objective （SODE）. The results indicate that the improved method can achieve better accuracy and stability than the conventional algorithm.
出处
《电波科学学报》
EI
CSCD
北大核心
2010年第5期865-870,共6页
Chinese Journal of Radio Science
关键词
雷达
蒸发波导
反演
多目标优化
radar
evaporation duct
inverse
multi-objective optimization
