摘要
针对非协作条件下采集的电磁数据残缺且受噪声和干扰污染严重所导致的电磁频谱地图仅能粗略反映辐射源位置分布问题,基于分布式感知网络架构,提出一种基于电磁频谱地图的辐射源精确定位算法。算法利用目标区域中随机部署的感知节点采集的电磁数据,借助克里金插值算法构建出目标区域的电磁频谱地图;通过分析电磁信号强度以及辐射覆盖区域的变化规律,得到辐射源的潜在位置集合;再结合电磁信号传播的路径损耗模型,判断出集合中的最佳估计位置,完成辐射源定位。仿真结果表明,上述算法能够从电磁频谱地图中获取更精确的辐射源位置信息,在定位精度和稳定性上优于现有的同类型定位算法。
Under the condition of non-cooperative communication,the electromagnetic data collected by sensing nodes deployed in the target area is incomplete and seriously polluted by noise and interference.The spectrum map constructed by these data is not accurate enough,which means the spectrum map gives only a rough indication of the distribution of emitters and is unable to achieve precise positioning.In order to solve this problem,the paper proposes a precise emitter location algorithm that is based on the spectrum map and implemented by distributed sensing networks.Firstly,the algorithm uses the electromagnetic data collected by the sensing nodes randomly deployed in the target area to construct the spectrum map with the help of Kriging interpolation algorithm.After that,by analyzing the electromagnetic signal intensity and the variation pattern of radiation coverage area,a set of potential locations of emitters is obtained.Finally,combined with the path loss model of electromagnetic signal propagation,the best estimated position in the set is determined to complete the location of the radiation source.The simulation results show that the algorithm can obtain more accurate emitter location information from the spectrum map,and is superior to the existing localization algorithms of the same type in terms of positioning accuracy and stability.
作者
杜逸潇
王红军
DU Yi-xiao;WANG Hong-jun(Institute of Electronic Countermeasure,National University of Defense Technology,Hefei Anhui 230037,China)
出处
《计算机仿真》
2024年第1期8-12,134,共6页
Computer Simulation
基金
国家自然科学基金面上项目(61971473)。
