工业脉冲噪声下无线通信系统预编码设计及性能分析  

Precoding design and performance analysis of wireless communication system under industrial impulsive noise

作　　者：李鑫艳 张晓光 王艳芬 周家思 孙彦景 LI Xinyan;ZHANG Xiaoguang;WANG Yanfen;ZHOU Jiasi;SUN Yanjing(School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China;Xuzhou Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration, Xuzhou 221116, China)

机构地区：[1]中国矿业大学信息与控制工程学院,江苏徐州221116 [2]徐州市智能安全与应急协同工程研究中心,江苏徐州221116

出　　处：《工矿自动化》2021年第10期54-61,共8页Journal Of Mine Automation

基　　金：国家自然科学基金项目(61902404,51734009,51504255,61771417,62001475,62071472)。

摘　　要：矿山等场景中的工业脉冲噪声会导致无线通信系统的突发数据错误,显著降低数据传输可靠性和通信质量。现有的抗脉冲噪声研究大多只能保证通信系统的有效性或可靠性,而工业无线通信场景中的任务应用对有效性和可靠性都提出了较高要求,单一的性能研究无法满足需求。针对上述问题,综合考虑工业设备尺寸和设计复杂性,建立了联合收发端设计的多用户多输入单输出(MU-MISO)正交频分复用(OFDM)系统模型。在发射端设计了基于二次型转换的预编码算法,以最大化系统和速率;采用二次型对耦合的预编码矢量进行解耦,以降低计算复杂度。在接收端设计了深度削减脉冲噪声消除方案,以降低误码率,提高工业无线通信的可靠性。仿真结果表明:在米德尔顿A类(MCA)噪声模型下,基于二次型转换的预编码算法与半正定松弛(SDR)算法的系统和速率十分相近,验证了所提预编码算法的有效性;与主流的消隐、削减、混合3种非线性脉冲噪声消除方案相比,深度削减脉冲噪声消除方案的输出信噪比最高,误码率最低,误码率比主流的最佳方案低24%,性能最优。Industrial impulse noise in mining and other scenes can lead to burst data errors in wireless communication systems,significantly reducing data transmission reliability and communication quality.Most of the existing anti-impulse noise studies can only guarantee the effectiveness or reliability of communication systems.However,the task applications in industrial wireless communication scenes put forward high requirements on both effectiveness and reliability,and a single performance study cannot meet the needs.In order to solve the above problems,comprehensively considering the size of industrial equipment and design complexity,a multi-user multiple-input single-output(MU-MISO)orthogonal frequency division multiplexing(OFDM)system model combining receiver and transmitter design is established.At the transmitter,a precoding algorithm based on quadratic conversion is designed to maximize the system sum-rate.The quadratic type is used to decouple the coupled precoding vector to reduce computational complexity.At the receiver,a deep reduction impulse noise elimination scheme is designed to reduce the bit error rate and improve the reliability of industrial wireless communication.The simulation results show that under the Middleton Class A(MCA)noise model,the system and rate of the quadratic conversion-based precoding algorithm and the semi-definite relaxation(SDR)algorithm are very similar,verifying the effectiveness of the proposed precoding algorithm.Compared with the mainstream three nonlinear impulse noise elimination schemes of blanking,reduction and mixing,the deep reduction impulse noise elimination scheme has the highest output signal-to-noise ratio and the lowest bit error rate.The bit error rate is 24%,which is lower than that of the mainstream best scheme.The model has the optimal performance.

关 键 词：工业无线通信 正交频分复用 预编码 发射端 接收端 工业脉冲噪声抑制 误码率 深度削减 

分 类 号：TD655.3[矿业工程—矿山机电]