物联网通信中的无线信道抗干扰算法

doi:10.11959/j.issn.1000-0801.2017283

电信科学 ›› 2017, Vol. 33 ›› Issue (10): 58-64.doi: 10.11959/j.issn.1000-0801.2017283

物联网通信中的无线信道抗干扰算法

谈玲,庄勇

南京信息工程大学，江苏南京 210044

修回日期:2017-09-30 出版日期:2017-10-01 发布日期:2017-11-13
作者简介:谈玲（1979-），女，博士，南京信息工程大学副教授，主要研究方向为物联网大数据。|庄勇（1987-），男，南京信息工程大学硕士生，主要研究方向为无线宽带通信。
基金资助:
国家自然科学基金资助项目(41505017);江苏省自然科学基金资助项目(BK20160951)

Anti-interference algorithm of wireless channel for IoT communication

Ling TAN,Yong ZHUANG

Nanjing University of Information Science ＆Technology,Nanjing 210044,China

Revised:2017-09-30 Online:2017-10-01 Published:2017-11-13
Supported by:
The National Natural Science Foundation of China(41505017);The National Natural Science Foundation of Jiangsu Province of China(BK20160951)

摘要/Abstract

摘要：

在物联网通信中，无线信道的抗干扰性依然受到各种因素影响，多天线系统对信道质量改善有较好的效果，但其信号检测的复杂度和性能还需要进一步提升。基于 QR 分解的检测算法具有较低的计算复杂度，但检测性能有待改善。为了改善QR分解检测算法的性能，提出一种基于ML准则结合判决候选机制的QR分解算法，并对其性能进行了分析。该算法采用 ML 准则对初始层进行精确估计检测，而后对其他检测层进行可靠判决，不可靠则引入候选点并从中选择最优候选点进行反馈。该算法可以显著改善系统干扰，并且在判决回馈中大大减少错误传播。实验仿真表明，在增加一定复杂度的情况下，该算法能够有效改善物联网系统性能。

关键词: ML准则, 初始层, 可靠判决, 候选点, 物联网通信

Abstract:

In IoT communication,the anti-interference of wireless channel is influenced by various factors.Multi-antenna system has significant effect for promoting anti-interference of channel,whose complexity and performance in signal detection need further improvement.The QR decomposition detection algorithm in signal detection of multi-antenna system has low computational complexity,but the algorithm performance is poor.In order to improve the performance of QR decomposition detection algorithm,a QR decomposition algorithm based on ML criterion and decision candidate mechanism was proposed,and the performance of the algorithm was analyzed.The ML criterion was used to estimate the initial level of the detection,and a reliable decision was adopted in the other detection layer.Candidate points were introduced in unreliable case and the optimal candidate were selected from the feedback.The algorithm could significantly improve the system interference,and propagation error were greatly reduced in the decision feedback.The experimental results show that the proposed algorithm can improve the performance of the IoT system effectively with certain complexity.

Key words: ML criterion, initial layer, reliable judgment, candidate point, IoT communication

中图分类号:

TN919

谈玲,庄勇. 物联网通信中的无线信道抗干扰算法[J]. 电信科学, 2017, 33(10): 58-64.

Ling TAN,Yong ZHUANG. Anti-interference algorithm of wireless channel for IoT communication[J]. Telecommunications Science, 2017, 33(10): 58-64.

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参考文献 11

[1]	PITAVAL R A , POPOVIC B M . Linear receivers for spectrally-precoded MIMO-OFDM[J]. IEEE Communications Letters, 2017(99):1.
[2]	吴军, 吴云龙, 黄雅兰 . 基于排序QR分解的VBLAST解码算法研究[J]. 电视技术, 2014(7): 149-152.
	WU J , WU Y L , HUANG Y L . VBLAST decoding algorithm based on sorted QR decomposition[J]. Video Engineering, 2014(7): 149-152.
[3]	邱冬冬, 刘斯亮, 王世强 . 基于 MMSE-SQRD 的 V-BLAST系统检测算法研究与仿真[J]. 电子设计工程, 2016(21): 129-131.
	QIU D D , LIU S L , WANG S Q . MMSE-SQRD based detection algorithm research and simulation of V-BLAST[J]. Electronic Design Engineering, 2016(21): 129-131.
[4]	YOSHIMURA T , IDA Y , AHN C J ,et al. Complexity reducing QRM-MLD with sequential decision based on the estimated noise variance[C]// 2013 15th International Conference on Advanced Communications Technology (ICACT),Jan 27-30,2013,Pyeong Chang,South Korea. New Jersey:IEEE Press, 2013: 590-593.
[5]	HOU W , FUJINO T , KOJIMA T . Adaptive candidate selection scheme in QRM-MLD algorithm for MIMO detection[C]// 2012 IEEE 8th International Conference on Wireless and Mobile Computing,Networking and Communications (WiMob),Oct 8-10,2012,Barcelona,Spain. New Jersey:IEEE Press, 2012: 502-506.
[6]	SHUBHI I , MURATA H . A signal selection scheme for QRM-MLD on MU-MIMO with user collaboration[C]// 2015 International Symposium on Wireless Communication Systems (ISWCS),August 25-28,2015,Brussels,Belgium. New Jersey:IEEE Press, 2015: 596-600.
[7]	戚晨皓, 黄永明, 金石 . 大规模 MIMO 系统研究进展[J]. 数据采集与处理, 2015(3): 544-551.
	QI C H , HUANG Y M , JIN S . Overview of massive MIMO system[J]. Journal of Data Acquisition ＆ Processing, 2015(3): 544-551.
[8]	TANABE S , SHIGYO A D , ISHIBASHI K . Not-so-large MIMO signal detection based on damped QR-decomposed belief propagation[C]// 2016 International Symposium on Information Theory and Its Applications (ISITA),Oct 30-Nov 2,2016,Monterey,CA,USA. New Jersey:IEEE Press, 2016: 463-467.
[9]	尤力, 高西奇 . 大规模MIMO无线通信关键技术[J]. 中兴通讯技术, 2014(2): 26-28.
	YOU L , GAO X Q . Key technologies in massive MIMO wireless communication[J]. ZTE Technology Journal, 2014(2): 26-28.
[10]	孙艳华, 吴伟陵 . 基于QR分解V-BLAST检测算法研究和比较[J]. 无线电工程, 2006(12): 26-29.
	SUN Y H , WU W L . The development and comparison of V-BLAST detection algorithms based on QR decomposition[J]. Radio Engineering of China, 2006(12): 26-29.
[11]	CHEN C M , LIN C H , TSAI P Y . Multi-mode sorted QR decomposition for 4×4 and 8×8 single-user/multi-user MIMO preceding[C]// 2015 IEEE International Symposium on Circuits and Systems (ISCAS),May 24-27,2015,Lisbon,Portugal. New Jersey:IEEE Press, 2015: 2980-2983.

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物联网通信中的无线信道抗干扰算法

Anti-interference algorithm of wireless channel for IoT communication

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