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This chapter begins with a review of time gating, the most widely used signal post-processing algorithm for isolating the spectral content of chipless RFID tags from unwanted components in the backscattered response. It then examines common feature extraction and decoding techniques based on the singularity expansion method (SEM). The chapter concludes by exploring emerging approaches, such as machine learning (ML) algorithms or principal component analysis (PCA), that provide a more comprehensive analysis of backscattered chipless RFID tag responses.

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Chipless RFID Signal Postprocessing and Decoding

  • 章节

  • 发表日期：

    2025年

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  • Fátima Villa-González,
  • Daniel Valderas,
  • Etienne Perret,
  • Antonio Lázaro,
  • Simone Genovesi,
  • Rahul Bhattacharyya

摘要

This chapter begins with a review of time gating, the most widely used signal post-processing algorithm for isolating the spectral content of chipless RFID tags from unwanted components in the backscattered response. It then examines common feature extraction and decoding techniques based on the singularity expansion method (SEM). The chapter concludes by exploring emerging approaches, such as machine learning (ML) algorithms or principal component analysis (PCA), that provide a more comprehensive analysis of backscattered chipless RFID tag responses.