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Research on Multiclassification Algorithm of Ultrawideband Pulsar RFI Based on MobileNetV2

  • Authors: Wenna Cai, Hailong Zhang, Yazhou Zhang, Jie Wang, Xu Du, Ting Zhang, Yuyue Jiao, Hongmei Tang, Xinchen Ye, Wanqiong Wang, Jia Li

Wenna Cai et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 14.

Classification effect diagram. This shows the validation effect of the model on the validation dataset. The horizontal coordinate is the phase, and the vertical coordinate is the frequency. A variety of RFI data in different frequency ranges are trained by the RFI-MN classification model. In order to fully verify the robustness of RFI-MN, the validation set is used to verify the model. The RFI is detected, classified, and extracted by the model, and the prediction frame can be generated and output in the corresponding frequency range, showing high accuracy for subsequent scientific research.

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