基于MLS的NB-IoT系统下行信道估计算法

doi:10.19678/j.issn.1000-3428.0054246

计算机工程 ›› 2020, Vol. 46 ›› Issue (2): 183-186. doi: 10.19678/j.issn.1000-3428.0054246

基于MLS的NB-IoT系统下行信道估计算法

方承志, 程宥铖, 火兴龙

南京邮电大学电子与光学工程学院微电子学院, 南京 210003

收稿日期:2019-03-15 修回日期:2019-04-18 发布日期:2019-05-29
作者简介:方承志(1976-),男,副教授、博士,主研方向为信号处理、模式识别、嵌入式系统;程宥铖、火兴龙,硕士研究生。
基金资助:
国家自然科学基金（61271334，61073115）。

Downlink Channel Estimation Algorithm of NB-IoT System Based on MLS

FANG Chengzhi, CHENG Youcheng, HUO Xinglong

College of Electronic and Optical Engineering&College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2019-03-15 Revised:2019-04-18 Published:2019-05-29

摘要/Abstract

摘要： 窄带物联网（NB-IoT）是3GPP针对低功耗、广覆盖类业务定义的新一代蜂窝物联网技术，是实现万物互联的重要技术之一，而信道估计则是NB-IoT终端能否准确恢复发射信号的基础。通过对NB-IoT中基于导频的下行信道估计算法进行研究，提出基于移动最小二乘法（MLS）的信道插值估计算法。在发射端插入导频信号，根据接收端的信号计算导频点信道参数，并引入紧支的概念，利用附近子域对导频点的影响权重估计信道参数。仿真结果表明，与线性插值和二次插值算法相比，采用该算法进行信道估计系统误码率较低，并且算法的计算复杂度也未显著增加。

关键词: 窄带物联网, 移动最小二乘法, 紧支, 信道估计, 导频

Abstract: The Narrow Band Internet of Things (NB-IoT),as a new generation of cellular IoT technology defined by the 3rd Generation Partnership Project (3GPP) for low-power and wide-coverage services,is one of the key technologies for achieving the Internet of Everything.Channel estimation technique is the key to whether the NB-IoT terminal can accurately and effectively recover the transmitted signal.This paper conducts a study on the pilot-based downlink channel estimation algorithm in NB-IoT,and proposes a channel interpolation estimation algorithm based on Movable Least Squares (MLS).The pilot is inserted in the transmitting terminal,and the pilot point channel parameters are calculated according to the signals in the receiving terminal.After that,the concept of compact support is introduced,and the channel parameters are estimated by using the nearby sub-domains to influence the weight of the pilot points.Simulation results show that compared with the traditional linear interpolation and quadratic interpolation algorithms,the bit error rate of the proposed algorithm is lower while the computational complexity is not significantly increased.

Key words: Narrow Band Internet of Things(NB-IoT), Movable Least Squares(MLS), compact support, channel estimation, pilot

中图分类号:

TN929.5

方承志, 程宥铖, 火兴龙. 基于MLS的NB-IoT系统下行信道估计算法[J]. 计算机工程, 2020, 46(2): 183-186.

FANG Chengzhi, CHENG Youcheng, HUO Xinglong. Downlink Channel Estimation Algorithm of NB-IoT System Based on MLS[J]. Computer Engineering, 2020, 46(2): 183-186.

http://www.ecice06.com/CN/Y2020/V46/I2/183

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参考文献

[1] RICO-ALVARINO A,VAJAPEYAM M,XU H,et al.An overview of 3GPP enhancements on machine to machine communications[J].IEEE Communications Magazine,2016,54(6):14-21.
[2] SINHA R S,WEI Y,HWANG S H.A survey on LPWA technology:LoRa and NB-IoT[J].ICT Express,2017,3(1):14-21.
[3] NARAYANAN S,TSOLKAS D,PASSAS N,et al.NB-IoT:a candidate technology for massive IoT in the 5G era[C]//Proceedings of 2018 IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks.Washington D.C.,USA:IEEE Press,2018:1-6.
[4] ZHANG L,IJAZ A,XIAO P,et al.Channel equalization and interference analysis for uplink narrowband Internet of Things[J].IEEE Communications Letters,2017,21(10):2206-2209.
[5] CENTENARO M,VANGELISTA L,ZANELLA A,et al.Long-range communications in unlicensed bands:the rising stars in the IoT and smart city scenarios[J].IEEE Wireless Communications,2016,23(5):60-67.
[6] RUSEK F,HU S.Sequential channel estimation in the presence of random phase noise in NB-IoT systems[C]//Proceedings of the 28th Annual International Symposium on Personal,Indoor,and Mobile Radio Communications.Washington D.C.,USA: IEEE Press,2017: 1-5.
[7] ZHANG Haoyan.Research on channel estimation based on 3GPP LTE downlink baseband system[D].Chengdu:University of Electronic Science and Technology of China,2012.(in Chinese) 张皓彦.基于3GPP LTE下行链路基带系统信道估计的研究[D].成都:电子科技大学,2012.
[8] CHEN Min,MIAO Yiming,HAO Yixue,et al.Narrow band Internet of Things[J].IEEE Access,2017,5:20557-20577.
[9] ZHANG Jing,ZHANG Hongbo,DENG Mingliang,et al.Channel estimation based on linear interpolation algorithm in DDO-OFDM system[C]//Proceedings of Asia Communications and Photonics Conference and Exhibition.Washington D.C.,USA:Optical Society of America,2010:798-810.
[10] LIU Xinying.Research on channel estimation and detection in IEEE802.11 standard[D].Chengdu: Southwest Jiaotong University,2014.(in Chinese) 刘新营.IEEE802.11标准的信道估计与检测技术研究[D].成都:西南交通大学,2014.
[11] LIU Jun.Research on curve fitting and interpolation of movable least squares scatter curves[D].Hangzhou:Zhejiang University,2011.(in Chinese) 刘俊.移动最小二乘散点曲线曲面拟合与插值的研究[D].杭州:浙江大学,2011.
[12] ZHONG Xijian,ZHANG Gengxin,XIE Zhidong.Construction of antenna gain model based on movable least square[J].Communications Technology,2016,49(5):549-553.(in Chinese) 钟锡健,张更新,谢智东.基于移动最小二乘法的天线增益模型构建[J].通信技术,2016,49(5):549-553.
[13] 3GPP.Physical channels and modulation:3GPP TS 36.211[S].3rd Generation Partnership Project,2016.
[14] KETONEN J,JUNTTI M,YLIOINAS J,et al.Implementation of LS,MMSE and SAGE channel estimators for mobile MIMO-OFDM[C]//Proceedings of the 46th Asilomar Conference on Signals,Systems and Computers.Washington D.C.,USA:IEEE Press,2012:1092-1096.
[15] SAVAUX V,DJOKO-KOUAM M,LOUT Y,et al.Effect of polynomial interpolations on the estimation performance of a frequency-selective Rayleigh channel in orthogonal frequency division multiplexing systems[J].IET Signal Processing,2015,9(1):97-109.
[16] KHLIFI A,BOUALLEGUE R.An accurate and very low complexity LMMSE channel estimation technique for OFDM systems[J].Wireless Personal Communications,2016,88(4):911-922.
[17] LI Wenting.The research of pilot-based channel estimation in LTE system[D].Wuhan:Wuhan University,2013.(in Chinese) 李文婷.LTE系统基于导频的信道估计技术研究[D].武汉:武汉大学,2013.
[18] HE Jiang.Research and implementation of channel estimation in OFDM system[D].Chengdu:Southwest Jiaotong University,2017.(in Chinese) 何江.OFDM系统的信道估计研究与实现[D].成都:西南交通大学,2017.
[19] LIU Huayong,XIE Xinping,LI Lu,et al.Integration and application of UQT-spline curves and surfaces[J].Computer Engineering,2016,42(2):236-241,248.(in Chinese) 刘华勇,谢新平,李璐,等.UQT-样条曲线曲面的融合及其应用[J].计算机工程,2016,42(2):236-241,248.
[20] ZHANG Tianqi,WANG yu’e,BAO Rui,et al.Blind recognition of OFDM signals in multi-path fading channels[J].Journal of Beijing University of Posts and telecommunications,2012,35(3):74-78.(in Chinese) 张天骐,王玉娥,包锐,等.多径衰落信道下OFDM信号盲识别[J].北京邮电大学学报,2012,35(3):74-78.

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