文章摘要
胡炜林, 刘辉, 彭闯, 王伦文.基于Kriging算法的电磁频谱地图构建技术研究[J].空军工程大学学报:自然科学版,2022,23(3):26-33
基于Kriging算法的电磁频谱地图构建技术研究
A Construction Technology of Electromagnetic Spectrum Map Based on the Kriging Algorithm
  
DOI:
中文关键词: 电磁频谱地图  电磁态势  Kriging  多粒度  均匀度权重
英文关键词: electromagnetic spectrum map  electromagnetic situation  Kriging  granularity  uniformity weight
基金项目:国家自然科学基金(11975307)
作者单位
胡炜林, 刘辉, 彭闯, 王伦文 国防科技大学电子对抗学院, 合肥, 230031 
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中文摘要:
      针对电磁频谱地图构建中感知节点分布不均匀、构建效率不高的难题,提出了一种基于Kriging算法的电磁频谱地图构建算法。该算法首先运用Kriging算法将感知数据构建成电磁频谱地图;其次利用K-means聚类算法实现感知区域多粒度划分,将整体区域划分为层次不同的多个局部区域,利用Kriging算法对局部区域进行电场强度插值估计,形成不同粒度下的多个电磁频谱地图;最后根据感知节点分布状况,基于Voronoi图计算不同粒度下局部区域的均匀度权重,对各粒度下的电磁频谱地图进行加权融合,生成电磁频谱地图。仿真结果表明:该算法将电磁频谱地图的构建误差降低了2%~5%,在噪声强度大于8 dBW时构建效率大幅高于原始算法,具有构建精度高、容错性强的特点。
英文摘要:
      Aimed at the problems that sensing nodes are uneven in distribution and low in construction efficiency in the construction of electromagnetic spectrum map, a new electromagnetic spectrum map construction algorithm is proposed based on the Kriging algorithm. Firstly, the Kriging algorithm is used to build electromagnetic spectrum map from perceptual data. Secondly, the K means clustering algorithm is introduced to realize the multi granularity division of the perception region, and the whole region is divided into multiple local regions at different levels. Meanwhile, the Kriging algorithm is used to interpolate and estimate the electric field intensity of the local region, and the multiple electromagnetic spectrum maps with different granularity are formed. Finally, according to the distribution of sensing nodes, the weight of local region uniformity under different granularity is calculated based on the Voronoi diagram, and the electromagnetic spectrum map under different granularity is weighted, generating the electromagnetic spectrum map. The simulation results show that the proposed algorithm can reduce the error of electromagnetic spectrum map construction by 2%~5%, and the construction efficiency is much higher than that of the original algorithm when the noise intensity is greater than 8 dBW, and the algorithm is characterized by high construction accuracy and strong fault tolerance.
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