一种混合算法下单个磁通门定位运动磁性目标研究

Study of a hybrid algorithm for localization of mobile magnetic target by a single fluxgate

运动磁性目标定位可归结为一类非线性规划问题的求解.针对其目标函数计算过程极为烦琐,不利于磁性目标实时定位的特点,提出了一种混合算法:首先利用粒子群优化算法获得初略解,再利用高斯-牛顿算法进行精确求解,在不知道目标初始位置的情况下,利用单个磁通门磁传感器采集的磁场数据准确快速地实现了目标的定位.理论仿真和汽车实验,验证了算法的合理性和可行性,为工程中磁性目标的检测与定位提供了新思路.

Localization of mobile magnetic target can be attributed to the solution for a class of nonlinear programming problem. Regarding to the complication of the calculation of the objective function and the shortage of the real-time localization of magnetic target, a hybrid algorithm is proposed. Firstly, the particle swarm optimization algorithm is used to get a beginning of the solution; then Gauss-Newton algorithm is utilized to acquire the accurate solution, so the position of the target is located accurately and rapidly by magnetic field data from single fluxgate magnetic sensor without knowing of the initial position. The theoretical simulation and experimental results prove the rationality and feasibility of the algorithm, which provides a new idea for the detection and localization of magnetic target in engineering.