应用动态时间规整算法实现雷达辐射源个体识别

Applying Dynamic Time Warping Algorithm to Specific Radar Emitter Identification

  • 摘要: 雷达辐射源个体识别,即识别同型号同批次的雷达辐射源,是当今电子战研究的重点课题。雷达辐射源的个体差异是由其内部各种元器件的细微差异产生的,瞬时幅度和瞬时频率能够很好地体现雷达辐射源的个体差异。基于这一事实,采用动态时间规整算法实现了雷达辐射源的距离测度。利用数据融合技术,综合考虑了瞬时幅度和瞬时频率的动态时间规整测度值,实现了雷达辐射源个体识别中的目标匹配。最后,通过仿真验证了动态时间规整算法在雷达辐射源个体识别课题中的可行性。

     

    Abstract: Nowadays, much attention of the study in electronic warfare research is paid to the specific radar emitter identification which is a key subject in the field. The individual differences of the radar emitters are generated due to the subtle differences of the internal components. At the same time, the individual differences can be well reflected by instantaneous amplitude and frequency. Regarding the condition, Dynamic time warping (DTW) algorithm is chosen to realize the distance measure. Data fusion technique is dropped in to achieve the target matching in the specific radar emitter identification, while the DTW measurements of the instantaneous amplitude and frequency are considered comprehensively either. Finally, the feasibility of the algorithm is validated through the simulation.

     

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