空军工程大学学报2025，Vol.26Issue(4)：75-81,88,8.DOI:10.3969/j.issn.2097-1915.2025.04.009
基于地磁特征提取的搜索导航研究
Research on Search Navigation Extraction from Geomagnetic Feature
摘要
Abstract
The navigation parameters used in existing geomagnetic navigation research are most of original geomagnetic parameters-based.The selection of geomagnetic parameters may affect the efficiency of navi-gation,and there is man-man error in the process of selecting navigation parameters.For the above-men-tioned reasons,a search navigation method is proposed based on the geomagnetic feature extraction.The extracted geomagnetic features able to comprehensively describe the magnetic field information of the loca-tion are taken as new navigation parameters by the principal component analysis method.In combination with the existing evolutionary search strategies and gradient descent methods,the extracted geomagnetic features are fully utilized for taking as new navigation parameters to guide the carrier to continuously ap-proach the target and achieve navigation objectives.The experimental results show that the traditional search navigation method based on the original geomagnetic parameters has an iteration step of 647 for the objective function,while the search navigation method based on extracting principal component features has an iteration step of 564 for the objective function.However,the evolutionary gradient navigation method based on principal component features proposed in this paper has an iteration step of 238,signifi-cantly reducing the iteration step number,improving navigation efficiency and the consistency of sub ob-jective function convergence.The original magnetic field information is utilized further in autonomous re-mote navigation,and there are good prospects.关键词
地磁导航/特征提取/主成分分析/进化梯度搜索Key words
geomagnetic navigation/feature extraction/principal component analysis/evolutionary gradient search分类
信息技术与安全科学引用本文复制引用
郭娇娇,杨宾锋,纪晓琳,曹海霞,郭宁宁..基于地磁特征提取的搜索导航研究[J].空军工程大学学报,2025,26(4):75-81,88,8.基金项目
国家自然科学基金(42404082) （42404082）
