电讯技术2023，Vol.63Issue(12)：1847-1854,8.DOI:10.20079/j.issn.1001-893x.230601002
一种基于电磁态势数据聚类的辐射源定位算法
A Radiation Source Localization Algorithm Based on Electromagnetic Situation Data Clustering
摘要
Abstract
Radiation source location is an important basis for military operations on the battlefield.However,in the complex battlefield electromagnetic environment,it is difficult to establish an effective propagation model,and under the condition of multiple radiation sources,it is difficult for traditional positioning methods to realize locating quickly and accurately.In order to solve above problems,based on the distributed electromagnetic situation awareness network of ground movable unmanned platform,a radiation source localization method is proposed to intelligently optimize the node sensing position,and the improved Cuckoo Search Algorithm is used to optimize the node sensing position in the network,and then the Kriging Interpolation is used to realize the perception of electromagnetic situation,and K-means clustering of situation data combined with Density Peaks Clustering(DPC)ideas to achieve radiation source localization.This method can adjust the sensing position under the condition of unsatisfactory initial deployment to achieve target radiation localization without prior information.Experiments show that the interpolation accuracy of the proposed method is better than that of Kriging Interpolation of random deployment and ordinary Cuckoo Optimized Sensing position in a multi-target complex environment,and the average positioning error is 47.28 m while the perception area is 4 km×4 km,the total number of nodes is 40 000,and the perception node accounts for 1%,so it has certain application prospects.关键词
电磁态势感知/辐射源定位/无线传感器网络/布谷鸟搜索/聚类算法Key words
electromagnetic situation awareness/radiation source location/wireless sensor network/Cuckoo search/clustering algorithm分类
信息技术与安全科学引用本文复制引用
刘金帆,沈哲贤,常超..一种基于电磁态势数据聚类的辐射源定位算法[J].电讯技术,2023,63(12):1847-1854,8.基金项目
国家自然科学基金面上项目(61971473) （61971473）
