Radiation source identification method and device based on multi-center complex residual network
The invention discloses a radiation source identification method and device based on a multi-center complex residual network. The method comprises the following steps: acquiring radiation source signal data in a plural form; the radiation source signal data in the plural form is divided into base cl...
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| creator | WANG SHAFEI LIU JIE ZHUANG LIANSHENG QIN ZHEN YANG JIAN XIAO DEZHENG |
| description | The invention discloses a radiation source identification method and device based on a multi-center complex residual network. The method comprises the following steps: acquiring radiation source signal data in a plural form; the radiation source signal data in the plural form is divided into base class data and target class data; the base class data is used for training; the target class data is used for identification; preprocessing the acquired radiation source signal data in the plural form to obtain frequency domain information of the signal; performing feature extraction on the frequency domain information of the signal to obtain a feature parameter; in the training stage, the extracted feature parameters are trained to form a feature library; in the recognition stage, the extracted feature parameters are classified by using a classification model to obtain a classification result. The multi-center complex residual network is used for processing the radiation source signal data in the plural form, and co |
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The method comprises the following steps: acquiring radiation source signal data in a plural form; the radiation source signal data in the plural form is divided into base class data and target class data; the base class data is used for training; the target class data is used for identification; preprocessing the acquired radiation source signal data in the plural form to obtain frequency domain information of the signal; performing feature extraction on the frequency domain information of the signal to obtain a feature parameter; in the training stage, the extracted feature parameters are trained to form a feature library; in the recognition stage, the extracted feature parameters are classified by using a classification model to obtain a classification result. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Radiation source identification method and device based on multi-center complex residual network |
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