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A SAW RFID sensor phase estimation method using SSA-CNN-BILSTM-based apFFT algorithm
DOI:10.1016/j.measurement.2026.120364.png)
Abstract
En 中文
• A new method using ApFFT and CNN-SE-BILSTM improves SAW RFID phase estimation accuracy, reducing error by 52%. • A CNN-BiLSTM model maps noisy SAW RFID echo signals to clean phase outputs. • The Sparrow search algorithm (SSA) was adopted to optimize the hyperparameters of CNN-SE-BILSTM model, and obtain a better model performance.
Journal
IF:
5.6
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1.9W
Citations:
5.4W

