大型公共建筑智能化弱电系统通信干扰自适应抑制方法  

Adaptive Suppression Method for Communication Interferencein Intelligent Weak Current Systems of Large Public Buildings

作　　者：闫春 Yan Chun(Institute of Data Communications Science and Technology,Beijing 100083,China)

机构地区：[1]数据通信科学技术研究所,北京100083

出　　处：《电气自动化》2024年第3期113-115,118,共4页Electrical Automation

摘　　要：为了提升大型公共建筑智能化弱电系统的通信抗干扰能力,提出大型公共建筑智能化弱电系统通信干扰自适应抑制方法。根据弱电系统通信干扰特点,引入认知驱动引擎,构建变换域通信干扰自适应抑制模型;设计压缩频谱感知模块、干扰特征提取模块、干扰智能识别模块和变换分析模块,实现弱电系统通信干扰自适应抑制。试验结果证明,经过所提方法处理后,误码率已降至0.001,传输速率均在1600 b/s以上。所提方法可以有效提升通信抗干扰能力和通信传输速率。In order to enhance the communication anti-interference ability of intelligent weak current systems in large public buildings,an adaptive suppression method for communication interference in intelligent weak current systems in large public buildings was proposed.Based on the characteristics of communication interference in weak current systems,a cognitive driven engine was introduced to construct an adaptive suppression model for communication interference in the transformation domain;the compressed spectrum sensing module,interference feature extraction module,interference intelligent recognition module,and transformation analysis module were designed to achieve adaptive suppression of communication interference in weak current systems.The experimental results show that after processing with the proposed method,the error rate has decreased to 0.001 and the transmission rates are all above 1600 b/s.The proposed method can effectively improve communication anti-interference ability and communication transmission rate.

关 键 词：大型公共建筑 智能化 弱电系统 通信干扰 自适应抑制 认知驱动引擎 

分 类 号：TM193[电气工程—电工理论与新技术]