电子通信非线性突变频率干扰检测与仿真  

Detection and Simulation of Nonlinear Abrupt Frequency Interference in Electronic Communication

作　　者：李丽艳 胡鸿豪 王云兴 LI Li-yan;HU Hong-hao;WANG Yun-xing(Jiangxi University of Engineering,School of Electronic Information Engineering,Xinyu Jiangxi 338000,China;Jingdezhen Ceramic Institute,School of Mechanical and Electronic Engineering,Jingdezhen Jiangxi 333403,China)

机构地区：[1]江西工程学院电子信息工程学院,江西新余338000 [2]景德镇陶瓷大学机械电子工程学院,江西景德镇333403

出　　处：《计算机仿真》2022年第9期471-475,共5页Computer Simulation

基　　金：江西省教育厅科学技术研究项目(课题编号181142)。

摘　　要：当前的电子通信干扰检测方法忽略了对信息的聚类处理,导致干扰的单次检测概率低、信号平均可靠传输时间短。为解决以上问题,提出电子通信突变非线性多频干扰检测方法。结合数据横向分布和纵向分布,根据分类属性完成数据分布信息对类与对象之间的差异性评价。采用K-means算法完成电子通信信号的聚类处理。在重叠剪切法的基础上采用MMSE频域均衡方法对聚类处理后的电子通信数据实现初始估计,并按照电子通信数据能量的强弱在干扰删除迭代过程中消除突变非线性多频干扰,完成电子通信突变非线性的多频干扰检测。仿真结果表明,所提方法的单次检测概率高、信号的可靠传输平均时间长。Currently, some detection methods ignore the information clustering, resulting in low single detection probability and short reliable transmission time. Therefore, a method to detect abrupt nonlinear multi-frequency interference in electronic communication was proposed. Combined with the horizontal and vertical distribution of data as well as the classification attributes, the evaluation for differences between classes and objects was completed with data distribution information. Moreover, the K-means algorithm was used to complete the clustering of electronic communication signals. Based on the overlap-cut method, MMSE frequency-domain equalization was used to preliminarily estimate the clustered electronic communication data. Meanwhile, the abrupt nonlinear multi-frequency interference was eliminated during the iteration of interference deletion according to the strength of the energy of electronic communication data. Finally, the detection for abrupt nonlinear multi-frequency interference in electronic communication was completed. Simulation results show that the proposed method has high single detection probability and long average reliable transmission time.

关 键 词：电子通信 突变非线性多频干扰 重叠剪切法 频域均衡方法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]