基于舰船矢量磁场的定位方法

A New Magnetic Localization Method Based on Vessel's Vectorial Magnetic Field

针对现有舰船磁定位方法的定位精度较大程度上依赖于定位参数初始值的估计精度,提出了基于多目标规划混合优化算法的磁定位方法.该方法利用舰船磁场的衰减特性构造了一种多目标规划的目标函数,通过微分进化算法与方向加速法相结合的优化算法,确定目标函数最优的定位参数.实验证明,所提出的方法仅需已知目标的粗略长度及3个磁传感器所测目标磁场的一部分,就能较准确地确定舰船相对于磁传感器的航迹,其定位结果稳定可靠,不依赖于初始值的估计精度.

The vessel＇s magnetic localization method utilizes the vessel＇s vectorial magnetic field to determine its track without installing any equipment on the ship. However, the track accuracy by current method largely depends on the accuracy of the localization parameters initial estimate. So a new multiobjective programming magnetic localization method with hybrid optimization algorithm was presented. The method constructs a new objective function on the basis of the attenuation characteristic of vessel＇s magnetic field, and applies the hybrid of differential evolution algorithm and Powell algorithm to find the optimum of the function. By means of ship＇s model experiments, it is demonstrated that the new localization method can utilize a part of the magnetic field measured by three selected sensors to identify vessel＇s track relative to the sensors with high numerical precision. The localization results prove the effectiveness of the proposed method and its potential application value of researching the magnetic signature of the objective with no tracking equipment fitted.