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机构地区:[1]石家庄铁道大学机械工程学院,石家庄050043 [2]陆军工程大学石家庄校区无人机工程系,石家庄050003
出 处:《宇航学报》2018年第2期158-167,共10页Journal of Astronautics
基 金:武器装备军内科研重点项目(20140051)
摘 要:为解决地磁匹配算法中匹配点的选取和匹配序列长度的设置问题,提出一种迭代最近等值线(ICCP)算法的地磁匹配序列生成方法。首先,分析了采样定理、地磁图分辨率、磁场起伏特征和磁传感器测量精度等对匹配序列采样间隔的约束,以及匹配序列长度与误匹配的关系;然后,在此基础上利用增量调制原理实现了匹配点的选取;最后,建立了本文方法参数优化的目标函数,并利用二进制粒子群优化(BPSO)算法对匹配序列的长度和增量调制的量阶进行寻优,使ICCP算法在保证匹配精度的前提下能够缩短匹配时间。仿真结果证明所提方法具有良好的环境适应性,对ICCP算法的精度和实时性都有明显改善。In order to select the proper matching length and matching points for the iterated closest contour point (ICCP) geomagnetic matching algorithm, a method to generate the geomagnetic matching sequence is proposed. Firstly, the constraints of the sampling theorem, the resolution of the magnetic map, the fluctuation of the magnetic field and the accuracy of the magnetic sensor on the matching sequence' s sampling interval as well as the relationship between the matching length and the false match are analyzed. Then on basis of this, the matching points are selected according to the delta modulation principle. Finally, the objective function of the proposed method is constructed and the binary particle swarm optimization (BPSO) algorithm is applied to find the optimized matching length and the quantization step, which can reduce the time consumption of the ICCP algorithm and guarantee the matching accuracy at the same time. The simulation experiments prove that the proposed method has good environmental adaptability. Meanwhile, the accuracy and real-time performance of the ICCP algorithm are improved obviously.
关 键 词:地磁辅助导航 迭代最近等值线(ICCP) 增量调制 二进制粒子群(BPSO)
分 类 号:V249.3[航空宇航科学与技术—飞行器设计]
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