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地面运动目标分类的模式特征与评价
引用本文:聂伟荣,朱继南,夏虹.地面运动目标分类的模式特征与评价[J].探测与控制学报,2002,24(3):25-28,32.
作者姓名:聂伟荣  朱继南  夏虹
作者单位:1. 南京理工大学机械工程学院,江苏南京,210094
2. 江苏省教育装备与勤工俭学管理中心,江苏南京,210008
摘    要:为了进一步对车辆目标分类,对实验获得的典型地面运动目标一轮式车、履带式车的地震动信号从频域、时一频域等多方面进行特征提取。在频域上,应用傅立叶变换、经典功率谱分析等常用的信号处理方法对信号进行处理,提取了信号的FFT特征和功率谱特征。在时一频域应用短时傅立叶变换、小波及小波包分析方法对信号进行处理,得到时频分布矩阵奇异值分布特征和小波包分解能量分布特征。之后基于距离可分性设计了一个模式特征可分性测度,对时域和时一频域所提取的各种特性进行对比评价,结果表明FFT特征、功率谱特征和小波分解后的能量特征具有更好的可分性。该结果与将各特征应用神经网络进行目标识别的结果是一致的。这表明所设计的模式特征可分性测度是有效的。

关 键 词:地面运动目标  分类  模式特征  车辆目标  特征提取  评价  地震动信号
文章编号:1008-1194(2002)03-0025-04

Feature and Evaluation of the Moving Target on the Ground
NIE Wei rong ,ZNU Ji nan ,XIA Hong.Feature and Evaluation of the Moving Target on the Ground[J].Journal of Detection & Control,2002,24(3):25-28,32.
Authors:NIE Wei rong  ZNU Ji nan  XIA Hong
Affiliation:NIE Wei rong 1,ZNU Ji nan 1,XIA Hong 2
Abstract:To classify the wheeled vehicle from tracked vehicle, the seismic signals of two kinds of vehicle are analyzed in different ways in the paper. In frequency domain, the methods of FFT and classical PSD are used to process the signals, and the features of FFT and PSD are obtained. In time-frequency domain, the signals are processed by the methods of the STFT, the wavelet and wavelet package, and the feature of SVD and the feature of the energy spectrum are obtained, After then, a separable measure is proposed based on the space, and it is applied into the evaluation of the above features, the result of the evaluation shows that the features the of FFT, PSD, and the energy spectrum all have the better separation ability, and this result is validated by the result of the target identification by neural network. Accordingly, we make sure that the proposed separable measure is effective.
Keywords:feature  evaluation  vehicle target  seismic signal
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