无源物联网的编码技术研究

doi:10.11959/j.issn.2096-3750.2023.00340

Abstract

Abstract:

Passive backscatter communication can free wireless sensors from limited-life batteries and heavy manual maintenance, and will also reduce their hardware cost.Passive backscatter communication is one of the key technologies to realize the passive internet of things (IoT).Due to the limited resources of passive sensor nodes, how to use coding technology to improve system reliability has become a challenging problem for passive IoT.The coding and decoding technologies of passive nodes in the passive IoT were focused on.Firstly, the development history of traditional channel coding and the existing RFID channel coding and decoding schemes were systematically expounded.Then, three suitable coding schemes were selected for passive backscatter communication technology.Finally, the performance of these three encoding schemes were compared by simulation and the advantages and disadvantages were summarized.

Key words: passive internet of things, backscatter, coding

CLC Number:

TN919

Yibing YANG, Rongtao XU, Xia CHEN, Gongpu WANG, Bo AI. Coding technology of passive internet of things[J]. Chinese Journal on Internet of Things, 2023, 7(3): 24-31.

Figures/Tables 11

References 29

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编码方式	贡献
汉明码^[8]	第一种差错控制编码
RM码^[9]	提高了在码字长度和纠错能力方面的适应能力，译码速度得到了提升
BCH码^[10-11]	第一种可由纠错个数需求构造码结构的纠错码，具有纠正多个随机错误的能力
RS码^[12]	多元最大距离可分的纠错码，其最小距离达到了Singleton 限
Goppa码^[13]	第一种具有好码特性的代数几何码
卷积码^[14]	编译码过程连续进行，不必保证接收到全部码字就可以开始译码，译码时延相对较低
Turbo码^[17]	将卷积码和随机交织器结合在一起，使“随机编译码”成为可能，并在译码方式上完成了从代数译码到软输出迭代译码的转变
LDPC码^[22]	稀疏校验矩阵的分组纠错码，且性能优于Turbo码
Polar码^[24]	第一种能够被严格证明在二进制输入对称离散无记忆信道下达到信道容量的编码，并具有线性复杂度的编译能力

参数	Type A	Type B	Type C	Type D
前向链路编码	PIE	Manchester	PIE	—
反向链路编码	FM0	FM0	FM0/Miller	PPE/Miller (M=2)

数据位	编码结果
“0”	x₀=[1,+1]
“1”	x₁=[+1,1]

Coding technology of passive internet of things

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