Low-complexity despreading scheme with repetition code for wireless body area networks

Yu CHI; Lan CHEN; Chao LV

doi:10.11959/j.issn.1000-436x.2015207

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Low-complexity despreading scheme with repetition code for wireless body area networks

Academic paper | 更新时间：2024-06-05

- Low-complexity despreading scheme with repetition code for wireless body area networks
- Journal on Communications Vol. 36, Issue 8, Pages: 146-152(2015)
- 作者机构：
  
  中国科学院微电子研究所，北京 100029
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61303253)
- DOI：10.11959/j.issn.1000-436x.2015207
  CLC： TN911
- Online First：2015-08，
  
  Published：25 August 2015
- 稿件说明：
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Yu CHI, Lan CHEN, Chao LV. Low-complexity despreading scheme with repetition code for wireless body area networks[J]. Journal on Communications, 2015, 36(8): 146-152.
DOI：

Yu CHI, Lan CHEN, Chao LV. Low-complexity despreading scheme with repetition code for wireless body area networks[J]. Journal on Communications, 2015, 36(8): 146-152. DOI： 10.11959/j.issn.1000-436x.2015207.

摘要

为了提高数据传输的可靠性，降低窄带接收机的复杂度，无线体域网标准 IEEE 802.15.6 采用了基于重复码的扩频方法。通过设计一种根据动态阈值选择性进行量度运算的解扩频结构，并结合硬判决阈值特性利用简化的最大比合并以及广义最小距离原理，提出了硬阈值—合并法和硬阈值—删除法，计算复杂度较小，同时解扩频性能近似最优。理论分析及仿真结果表明，与基于最大似然方法的解扩频相比，其扩频增益接近理论值，在高信噪比环境下，计算复杂度可降低86%以上。

Abstract

To improve the reliability of data transmission and reduce the complexity of the narrow band receiver for wireless body area networks(WBAN)

spreading with repetition code is used in IEEE 802.15.6 standard.A despreading structure in which the metrics of reliability were calculated selectively according to the dynamic threshold was designed.Combined with hard decision

hard threshold-combine and hard threshold-delete despreading methods by simplifying maximal ratio combining and generalized minimum distance principle respectively were proposed

which had low complexity and near-optimal performance.The theoretical analysis and simulation results show that compared to despreading based on maximum likelihood method

the spreading gain of the proposed methods is close to the theoretical value and the computational complexity can be reduced by 86% at most under high SNR circumstances.

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references

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