Tag Estimate and Fame Length for Dynamic Frame Slotted ALOHA Anti-collision RFID System
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摘要: 为提高射频识别(Radio frequency identification, RFID)标签的识别效率, 本文针对RFID动态帧时隙ALOHA防冲突系统, 提出了新的标签估计方法和帧长确定方案. 标签估计中采用了不同的贝叶斯代价函数, 提出了几种贝叶斯标签估计方法, 它们的估计结果准确, 而且通过减小标签数取值范围可使计算复杂度得到降低. 随后, 推导出一种根据标签数确定最优帧长的方案, 它能使系统达到最大的信道利用率, 该最大信道利用率要大于帧的时隙数等于标签数时所能达到的最大利用率.
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关键词:
- 射频识别防冲突 /
- 动态帧时隙ALOHA /
- 标签估计 /
- 帧长
Abstract: In order to enhance radio frequency identification (RFID) tag identification efficiency, this paper proposes new tag estimates and an optimal frame length scheme for a dynamic frame slotted ALOHA anti-collision RFID system. The new tag estimates adopt three Bayesian risk functions and have three Bayesian estimates. These Bayesian estimates performances are better than those of the conventional methods, and their computational complexities are also lowered by narrowing search range. In addition, this paper derives an optimal frame length for obtaining the maximum radio channel efficiency, which is higher than the efficiency when the frame length is equal to the tag number. -
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