采用多目标优化的水下垂向单分量磁传感器定位

Localization of underwater vertical magnetic sensor based on multi-objective optimization

为确定水下布设的单分量磁传感器的准确位置,提出了基于多目标优化的定位方法。该方法利用测得的磁场数据,建立了以传感器空间位置为决策变量的多目标模型,并采用多目标粒子群算法对其进行优化求解。实验结果表明:该定位方法正确可行,可以解决单分量磁场均匀性导致定位误差大的问题。与传统方法相比,该方法具有定位精度高和鲁棒性强的特点。

A novel localization method based on multi-objective optimization is proposed in order to determine the position of the underwater vertical magnetic sensor. By using series of measured vertical magnetic data, a multi-objective model with respect to the relative position between the coil and sensor is built. Then the localization of sensors is used to solve the multi-objective optimization problem. Due to the uniform distribution of the magnetic field in space, traditional optimization algorithms hecome trapped easily in local optima. Accordingly, multi-objective particle swarm is applied and the global optimum is obtained. The experiment results show that the proposed method is effective. Compared to conventional methods, it has high accuracy and strong robustness.