Optimizing the Decoding Complexity of PEG-Based Methods with an Improved Hybrid Iterative/Gaussian Elimination Decoding Algorithm

@inproceedings{Alkanhel2017OptimizingTD,
  title={Optimizing the Decoding Complexity of PEG-Based Methods with an Improved Hybrid Iterative/Gaussian Elimination Decoding Algorithm},
  author={Reem Alkanhel and Marcel Ambroze},
  year={2017}
}
A R T I C L E I N F O A B S T R A C T Article history: Received: 04 April, 2017 Accepted: 15 May, 2017 Online: 04 June, 2017 This paper focuses on optimizing the decoding complexity of the progressive-edge-growthbased (PEG-based) method for the extended grouping of radio frequency identification (RFID) tags using a hybrid iterative/Gaussian elimination decoding algorithm. To further reduce the decoding time, the hybrid decoding is improved by including an early stopping criterion to avoid… CONTINUE READING

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