: . 工矿自动化 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。 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 中图分类号: 文献标志码:A Precoding design and performance analysis of wireless communication system under industrial impulsive noise LI Xinyan1,ZHANG Xiaoguang1,WANG Yanfen1,ZHOU Jiasi1,SUN Yanjing1,2 ( of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China; Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration, Xuzhou 221116, China) Abstract: 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 reli