基于自适应EIH模型的激波脉冲识别  

Shock-Wave Pulse Recognition Based on Adaptive EIH Model

作　　者：字正华[1] 石庚辰[2] 

机构地区：[1]云南楚雄师范学院物理与电子科学系,云南楚雄625000 [2]北京理工大学机电工程学院,北京100081

出　　处：《测试技术学报》2006年第1期55-59,共5页Journal of Test and Measurement Technology

摘　　要：就超音速飞行体产生的激波脉冲识别展开研究,分析了目标信号的脉冲特性和基于E IH(ENSEM-B LE IN TERVA LH ISTOGRAM)模型的波形特征提取方法.分析了E IH模型在波形结构特征提取的过程中存在的问题,提出了一种自适应E IH模型.以外场试验获取了超音速目标的激波信号和干扰源的脉冲信号,设计了支持向量机分类器,仿真了所提出模型的有效性.Supersonic targets recognition based on shock- wave pulse was studied. The pulse characteristics of target signal and the waveform feature extraction based on Ensemble Interval Histogram （EIH） were analyzed. To solve the limitation of EIH model, an adaptive EIH model was proposed. The shock waves of supersonic targets and the pulses of interfering sources were obtained by field experiments and support vector machine （SVM） was designed to identify targets. Simulation results confirm that the model proposed in this work is effective.

关 键 词：超音速目标 激波 EIH模型 支持向量机 识别 

分 类 号：TN911.7[电子电信—通信与信息系统]