基于形状统计量的地面运动车辆识别
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摘要
对典型车辆目标 (如轮式车、履带式车 )的地震动信号进行分析和处理 ,针对信号的功率谱提出了用形状统计量作为目标识别的特征 ,并对提取出的特征利用神经网络进行了目标识别 .经过仿真实验 ,得到了比较满意的结果
This paper proposed shape statistics feature which can be used for targets identification with respect to the power spectra of the seismic signal, after analyzing and processing to the seismic signals from typical vehicles, such as wheeled vehicle and tracked vehicle. At the same time using a neural network algorithm for targets identification. Satisfactory experiment results are obtained after simulating.
引文
1MarkCW,NassyS,DavidBH.Featureextractionandfusionofacousticandseismicsensorsfortargetidentification.SPIE.(3081):139-145
    2杨行峻,郑君里人工神经网络北京:高等教育出版社,1992
    3赵玉霞多传感器监视系统的目标识别:[硕士论文]南京:南京理工大学,1999
    4张贤达现代信号处理北京:清华大学出版社,1999

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