摘要
针对现有磁场梯度张量定位方法存在的问题,提出载体平动条件下的磁场梯度张量定位方法.用目标磁矩替换目标的磁场值,通过2点的张量测量,构建关于位置参量的非线性定位方程组,通过遗传算法对方程未知数进行优化,解算得到位置参数.仿真结果证明:载体平动条件下的张量定位方法有效克服了现有张量定位算法的不足,定位精度高,可以在地磁背景环境下对隐蔽目标进行定位.
The main goal of this study is to give the localization of magnetic field gradient tensor when carriers parallelly moving.The problems existing in the localization methods were analyzed.The magnetic field value of an object was replaced with the magnetic moment of the object,and the nonlinear system of localization equations for position parameters was built by measuring the tensors of two points.The unknown parameters of the equations were optimized by GA（genetic algorithm）,and the position parameters were calculated.Simulation results show that the tensor localization method for carriers parallelly moving is better than the existing tensor localization methods,because of its high localization precision.Thus,this method can locate the underground hidden objects under the environment of geomagnetic field.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第1期21-24,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家重点基础研究发展计划资助项目
关键词
磁梯度张量
载体平动
非线性方程组
遗传算法
张量定位
magnetic field gradient tensor
carrier moving
nonlinear equation system
GA（genetic algorithm）
tensor localization
