摘要
通过对瓦斯监控系统干扰问题的分析,提出一种基于免疫算法的智能化抗冲击干扰方法。为了提高干扰信号的识别准确性,提取出免疫疫苗,用于识别干扰信号。根据正常信号平稳变化的特性,对检测到的受冲击干扰信号处利用总有界变化模型进行平滑处理,滤除冲击干扰信号。仿真实验结果表明,该方法可以有效滤除干扰冲击信号,提高监控系统报警准确性。
Based on the analysis of the interference problem of gas monitoring system, an intelligent anti-jamming method based on immune algorithm is proposed. In order to improve the recognition accuracy of the interference signal, immune vaccine is extracted and used to identify the interference signal. According to the characteristics of the smooth change of the normal signal, using the total bounded variation to smooth the impulse jamming signal, and filter the impulse jamming signal. The simulation results show that this method can effectively filter the interference signal and improve the accuracy of the system.
作者
陈强
刘万顺
王海峰
万波俊
CHEN Qiang LIU Wan-shun WANG Hai-feng WAN Bo-jun(School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou Jiangxi 34100, China)
出处
《北京联合大学学报》
CAS
2017年第2期54-58,共5页
Journal of Beijing Union University
基金
江西省自然科学基金资助项目(20161BAB206140)
关键词
瓦斯监控
免疫算法
冲击干扰
免疫疫苗
Gas monitoring system
Immune algorithm
Anti-jamming
Immune vaccines
