Matching Area Intelligent Selection Method in Geomagnetic Navigation

摘要：

geomagnetic navigation needs matching areas with a good matching performance. Immunity particle swarm optimal (PSO) algorithm is used to select the optimal matching area intelligently in geomagnetic reference map, taking geomagnetic entropy as a characteristic parameter to measure the characteristic of each matching area. Mean square deviation (MSD) and normalized product (NProd) algorithms are both used in simulation experiments. Results indicate the consistency between matching probability and matching area selection policy, and the validity of characteristic parameter selection. This method can be useful in geomagnetic navigation.

关键词： geomagnetic navigation matching area geomagnetic entropy immunity PSO intelligent selection

作者: SUN Yuan ZHANG Jin-sheng QIAO Yu-kun JIAO Wei WANG Shi-cheng

作者单位: Xian Research Inst.of High-tech Hongqing Town, Xian, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 860-864

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）