基于Lorenz振子的微弱周期信号联合检测方法  

Method of Weak Periodic Signal Joint Detection Based on Lorenz Oscillator

在线阅读下载全文

作  者:许岩[1] 崔健[1] 胡杰[1] 刘小蔓[1] XU Yan CUI Jian HU Jie LIU Xiao-man(Xiehang Satalite Launch Centry, Xiehang 615000, China)

机构地区:[1]中国西昌卫星发射中心,四川西昌615000

出  处:《重庆理工大学学报(自然科学)》2017年第3期137-142,174,共7页Journal of Chongqing University of Technology:Natural Science

摘  要:分析了传统自相关方法在噪声环境下的微弱信号检测性能,对噪声环境中的Lorenz振子进行了特性分析。提出了运用自相关和Lorenz振子的微弱周期信号检测方法。首先将待测信号进行自相关处理,提高其信噪比;然后利用比例微分控制策略下的Lorenz振子对检测信号进行检测。实验结果表明:相较运用Duffing阵子阵列的频率检测方法,能有效检测出信噪比达-60 d B的周期信号的频率,具有复杂度低和可同时检测多个周期信号的优点。The performance of traditional autocorrelation method in the weak signal detection in noisy environment is analyzed, and the characteristics of Lorenz oscillator in noise environment are analyzed. Signal detection method using autocorrelation and Lorenz oscillator weak periodic is put forward. Firstly,we have autocorrelation processing of test signal to improve the signal-to-noise ratio;then we test the detection signal by using the Lorenz oscillator pd control strategy. The experimental results show that: compared with the array using Duffing array frequency detection method,this method can effectively detect the signal to noise ratio of frequencies of periodic signal-60 db,and has the advantages of low complexity and can detect multiple periodic signal at the same time.

关 键 词:混沌理论 微弱信号检测 噪声 比例微分控制 Lorenz振子 

分 类 号:TM76[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象