Autoencoder-based target detection in automotive mimo fmcw radar system

HIGHLIGHTS

  • who: Sung-wook Kang et al. from the School of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Goyang have published the research: Autoencoder-Based Target Detection in Automotive MIMO FMCW Radar System, in the Journal: Sensors 2022, 22, 5552. of /2022/
  • what: The authors propose a method using a convolutional neural (AE) to replace the CFAR algorithm in the multiple-input and multiple-output FMCW radar system. In this work by changing the number of hidden layers and the number of filters in each layer the structure of the AE showing a . . .

     

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