一种低复杂度的NB-IoT小区ID检测算法

常铁原; 李永旗; 闫艺萍

doi:10.13756/j.gtxyj.2022.02.014

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一种低复杂度的NB-IoT小区ID检测算法

无线通信技术 | 更新时间：2022-06-15

- 一种低复杂度的NB-IoT小区ID检测算法
- A Low Complexity NB-IoT Cell ID Detection Algorithm
- 光通信研究 2022年第2期页码：69-73
- 作者机构：
  
  河北大学　电子信息工程学院，河北　保定　071000
- 作者简介：
  
  常铁原(1964-)，男，河北保定人。副教授，学士，主要研究方向为窄带物联网、信号检测。
  李永旗，硕士。E-mail：1689452833@qq.com
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.02.014
  中图分类号： TN915
- 纸质出版日期：2022-04-10，
  
  收稿日期：2021-04-28，
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常铁原, 李永旗, 闫艺萍. 一种低复杂度的NB-IoT小区ID检测算法[J]. 光通信研究, 2022,(2):69-73.

CHANG Tie-yuan, LI Yong-qi, YAN Yi-ping. A Low Complexity NB-IoT Cell ID Detection Algorithm[J]. Study on Optical Communications, 2022,(2):69-73.
常铁原, 李永旗, 闫艺萍. 一种低复杂度的NB-IoT小区ID检测算法[J]. 光通信研究, 2022,(2):69-73. DOI： 10.13756/j.gtxyj.2022.02.014.

CHANG Tie-yuan, LI Yong-qi, YAN Yi-ping. A Low Complexity NB-IoT Cell ID Detection Algorithm[J]. Study on Optical Communications, 2022,(2):69-73. DOI： 10.13756/j.gtxyj.2022.02.014.

摘要

窄带物联网(NB-IoT)存在多种辅同步信号，需要很多的空间去存储，而NB-IoT有低功耗的要求，因此文章提出了一种自相关与互相关联合的检测算法。该算法首先对辅同步信号进行拆分，利用相位偏移量随着帧号变化的规律，减少了算法中的乘法运算，其次利用Zadoff-Chu (ZC)序列在辅同步信号中的对称性，对接收信号自相关，结合本地信号与接收信号的互相关，可以检测出辅同步信号，求出小区标识(ID)号。通过对比其他算法，文章所提算法在保证性能的前提下，能够极大地降低算法复杂度。

Abstract

Narrow Band Internet of Things (NB-IoT) has many kinds of secondary synchronization signals

which need a lot of space to store. Therefore

the requirement of low power consumption is difficult to be satisfied. In order to solve this problem

we propose a low complexity cell Identity (ID) detection algorithm. Firstly

the algorithm splits the secondary synchronization signal

and reduces the multiplication operation by using the law of phase offset changing with frame number. Then it uses the symmetry of Zadoff-Chu (ZC) sequence in the secondary synchronization signal to calculate the autocorrelation value of the received signal. Combined with the cross-correlation between the local signal and the received signal

the secondary synchronization signal can be detected and the cell ID number can be calculated. By comparing with other algorithms

the proposed algorithm can greatly reduce the complexity of the algorithm while maintaining the acceptable performance.

关键词

窄带物联网小区搜索辅同步信号互相关对称性

Keywords

NB-IoTcell searchsecondary synchronization signalcross correlationsymmetry

references

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Savaux V. DFT-based Low-complexity Optimal Cell ID Estimation in NB-IoT[J]. Journal on Advances in Signal Processing, 2020(1): 855-873.

Magani S, Kuchi K. Cell-search and Tracking of Residual Time and Frequency Offsets in Low Power NB-IoT Devices[J]. CSI Transactions on ICT, 2019, 7(1): 27-34.

Ali A, Hamouda W. On the Cell Search and Initial Synchronization for NB-IoT LTE Systems[J]. IEEE Communications Letters, 2017, 21(8): 1843-1846.

Shimura A, Sawahashi M, Nagata S, et al. Physical Cell ID Detection Probabilities using Frequency Domain PVS Transmit Diversity for NB-IoT Radio Interface[J]. IEICE Transactions on Communications, 2019, E102.B(8): 1477-1489.

Savaux V, Kanj M. Low-complexity Sub-optimal Cell ID Estimation in NB-IoT System[J]. IET Communications, 2020, 14(20): 3699-3706.

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