在舰船消磁与防护中,需要利用混合模型对舰船磁场的空间分布规律进行数学建模,而混合模型将磁偶极子阵列等距分布忽视了舰船结构的影响,且没有考虑测量数据的真实性,导致所建模型精度不高、稳定性较差.文章以混合模型系数矩阵条件数为目标函数,采用模拟退火算法(Simulated Annealing algorithm,SA)优化系数矩阵条件数,得到磁偶极子阵列的最优位置分布;然后通过考察单个点的拟合情况剔除误差大的测量点,优化测量数据;最后利用逐步回归求解模型方程,获得舰船磁场高精度稳定模型.实测数据建模表明:与磁偶极子等距分布的混合模型建模相比,本文方法所建模型精度可达96%,对测量数据误差的敏感性低,抗干扰能力强,具有较好的鲁棒性.本方法可用于复杂海况背景下的舰船磁场高精度建模,以及水面磁性目标探测与定位系统.
Abstract
In modeling ship magnetic field with hybrid model,the dipole array location distribution and the authenticity of the measurement data,which affects model accuracy and stability,should be considered.The paper takes the condition number of the coefficient matrices of the hybrid model as the objective function,gets the optimal position distribution of magnetic dipole arrays by optimizing the matrix condition number with simulated annealing algorithm,optimizes the measurement data by eliminating the great error in the measurement point,and finally obtains the high precision and stable model of ship magnetic field by using stepwise regression to solve the model equation.The measured data model shows,compared with the model based on the equidistant distribution of magnetic dipole of hybrid model,the model that the proposed method builds has a higher accuracy and is more stable,and the accuracy of the model can reach 96%.This method can be used for high precision modeling of ship magnetic field under complex sea conditions,as well as surface magnetic target detection and positioning system.
关键词
舰船磁场 /
磁偶极子阵列分布 /
测量数据 /
系数矩阵条件数 /
模拟退火算法 /
逐步回归
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Key words
ship magnetic field /
dipole array location distribution /
measurement data /
condition number of matrices /
simulated annealing algorithm /
stepwise regression
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中图分类号:
TM155
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脚注
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基金
国防预研项目 (No.41419010208)
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