基于蚁群算法的雷达海杂波反演蒸发波导研究

Retrieving evaporation duct from radar sea clutter based on ant colony algorithm

蚁群算法是近年来兴起的一种随机搜索寻优算法,为函数优化问题提供了一种新思路;利用雷达海杂波反演蒸发波导(RFC)可以提供近实时的波导信息,为雷达等无线电系统评估提供参数,且无需增加硬件设备。阐述了利用雷达海杂波反演大气波导的基本原理和基本流程;给出了用于函数优化的蚁群算法基本原理;将蚁群算法与雷达海杂波反演大气波导技术相结合实现了对蒸发波导的反演。利用我国东部沿海的实验数据对反演算法进行检验,分析结果显示蚁群算法收敛速度较快,精度较高。

Ant colony algorithm（ACA） is a newly emerged stochastic searching optimization algorithm in recent years. It provides a novel algorithm to solve complicated optimization problems. Refractivity From Clutter（RFC） techniques that retrieving duct parameters from the sea-surface reflected radar clutter provide the near-time duct information which is the important parameters for radio system evaluation without adding any hardware instruments. The basic principles applications of ACA and RFC are introduced. And retrieving evaporation duct is achieved by combined RFC with ACA. An experiment was launched at east China sea, the resuits obtained from ACA indicate that it has the advantages of fast convergence and high precision.