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首页> 外文会议>2017 International Conference on Electrical and Computing Technologies and Applications >Decoding complexity analyses of PEG-based methods with the improved hybrid iterative/Gaussian elimination decoding algorithm
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Decoding complexity analyses of PEG-based methods with the improved hybrid iterative/Gaussian elimination decoding algorithm

机译：改进的混合迭代/高斯消元解码算法对基于PEG的方法的解码复杂度分析

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This paper focuses on analysing the operational complexity of decoding the progressive-edge-growth-based (PEG-based) method for the extended grouping of radio frequency identification (RFID) tags using the improved hybrid iterative/Gaussian elimination decoding algorithm. In addition, the joint use of two decoding components is adapted based on the missing amounts of RFID tags and group sizes in order to avoid iterative decoding when the missing amounts is larger than a threshold and thus to save more decoding time. Various simulations have been carried out to analyse and evaluate the decoding complexity as well as the impact of the threshold value on decoding time. Simulation results are presented, demonstrating that the improved hybrid decoding algorithm achieves low decoding complexity and thus decoding time when compared to the full Gaussian elimination decoding algorithm.
机译：本文着重分析使用改进的混合迭代/高斯消除解码算法解码基于渐进边缘增长（基于PEG）的射频识别（RFID）标签扩展分组方法的操作复杂性。另外，基于RFID标签的丢失量和组大小来适配两个解码组件的联合使用，以便当丢失量大于阈值时避免迭代解码，从而节省更多的解码时间。已经进行了各种模拟来分析和评估解码复杂度以及阈值对解码时间的影响。仿真结果表明，与完整的高斯消元解码算法相比，改进的混合解码算法实现了较低的解码复杂度，从而缩短了解码时间。

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