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基于动态帧时隙的并行识别防碰撞算法

金允钢 王秋丽

科技广场Issue(7):117-121,5.
科技广场Issue(7):117-121,5.

基于动态帧时隙的并行识别防碰撞算法

Parallelizable Identification Anti-Collision Algorithm Based on Dynamic Frame-Slotted Aloha Algorithm

金允钢 1王秋丽1

作者信息

  • 1. 江西理工大学信息工程学院,江西 赣州 341000
  • 折叠

摘要

Abstract

Tag collision may occur in the processing of identification when more than one tag responds the reader inquiry command at the same time,which affects the performance of the RFID system.And the algorithm of under-determined blind separation''s result becomes worse while the number of tags increases.Aiming at these problems,the paper puts forward a novel parallelizable identification anti-collision algorithm based on NMF and Dynamic Frame-Slotted Aloha algorithm.The number of tags in each group can be controlled within the optimum range by selecting a reasonable number of groups,which remains the good condition of the separation of the source signals and the throughput in RFID systems.The algorithm has a very good application value in the field where needs identification of large amount of tags.

关键词

射频识别/欠定盲分离/防碰撞/动态帧时隙/非负矩阵分解

Key words

RFID/Under-Determined Blind Separation/Anti-Collision/DFSA/NMF

分类

信息技术与安全科学

引用本文复制引用

金允钢,王秋丽..基于动态帧时隙的并行识别防碰撞算法[J].科技广场,2015,(7):117-121,5.

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