无线电工程2025，Vol.55Issue(9)：1814-1822,9.DOI:10.3969/j.issn.1003-3106.2025.09.009
基于城市低空环境的多域态势融合算法研究
Research on Multi-domain Situation Fusion Algorithm Based on Urban Low-altitude Environment
摘要
Abstract
The multi-domain situational field map provides data-driven situational information for unmanned systems by spatio-temporal correlation and fusion of ubiquitous information such as electromagnetic,geographical,and visual data,which is used for the positioning and navigation services of unmanned systems.It can fill the gap in continuous and reliable positioning capabilities in low-altitude urban spaces caused by the limitations of single-sensor situational awareness,effectively enhance positioning credibility,and has stronger adaptability.Since the electromagnetic situation exhibits distinct edge features in urban architectural environments,matching electromagnetic and geographic building data using building contour information is an effective method for multi-domain data fusion.A multi-domain situational information fusion method based on geographic and electromagnetic data is proposed.Multi-domain sensors are used to acquire geographic data and electromagnetic data in urban space and establish an electromagnetic situational map.Building edge features are extracted from the processed heatmap data.The corresponding relationships between data in different domains are identified through feature matching,and spatio-temporal attribute association and fusion of multi-domain data are performed.Thus,the data is transformed into the same coordinate system to obtain the association and fusion results.The success rate of data association is obtained by comparing and calculating the association matrix and feature contours.Through the visualization of the situational map and fusion results,as well as the calculation of the data association success rate,it is shown that the electromagnetic situation and urban Digital Elevation Model(DEM)data can achieve effective spatio-temporal registration and fusion.It can be seen that the algorithm can effectively solve the problem of reliable multi-domain situational information fusion in urban building environments,providing more comprehensive situational information for unmanned systems when performing tasks and making decisions,and ensuring positioning and navigation services for unmanned systems in low-altitude urban architectural spaces.关键词
多域态势/低空环境/数据关联/信息融合Key words
multi-domain situation/low-altitude environments/data association/information fusion分类
信息技术与安全科学引用本文复制引用
吴婉晴,蔚保国,董赫..基于城市低空环境的多域态势融合算法研究[J].无线电工程,2025,55(9):1814-1822,9.基金项目
国家重点研发计划(2021YFB3900800) （2021YFB3900800）
河北省自然科学基金(F2024523004) （F2024523004）
河北省战略性技术项目(23319902L)National Key R&D Program of China(2021YFB3900800) （23319902L）
Hebei Provincial Natural Science Foundation of China(F2024523004) （F2024523004）
Strategic Technology Project of Hebei Province(23319902L) （23319902L）
