摘要
针对低信噪比情况下的通信信号检测问题,提出了一种基于分形统计量特征的检测新方法。该方法通过对分形关联维数计算进行优化,全面分析了检测统计量高斯拟合与非高斯拟合处理思路,并结合提取信号的能量特征,增强了复杂背景中通信信号检测效果。设计了基于分形与能量的联合检测算法,实现更进一步优化。该新思路无需先验信息,具有良好的抗噪性,且稳健性强,工程实用性好。仿真结果显示新方法的检测性能较佳,且可在低信噪比情况下成功实现盲检测。
A new detection method based on fractal statistic features is proposed to solve the problem of communication signal detection in the case of low signal-to-noise ratio.This method optimizes the calculation of fractal correlation dimension,comprehensively analyzes the processing ideas of Gaussian fitting and non-Gaussian fitting of detection statistics,and combines the energy characteristics of extracted signals to enhance the detection effect of communication signals in complex background.And a joint detection algorithm based on fractal and energy is designed to achieve further optimization.The new idea does not need prior information,has good noise resistance,strong robustness and good engineering practicability.Simulation results show that the new method has better detection performance,and can successfully achieve blind detection in the case of low signalto-noise ratio.
作者
闫晓峰
吴治霖
田刚
熊刚
YAN Xiao-feng;WU Zhi-lin;TIAN Gang;XIONG Gang(Naval Equipment Department,Chengdu 610036,China;The 30th Research Institute of CETC,Chengdu 610041,China;Unit 94654 of PLA,Taizhou 317600,China)
出处
《舰船电子对抗》
2022年第5期64-67,共4页
Shipboard Electronic Countermeasure
关键词
通信信号检测
分形统计量特征
关联维数
联合检测
communication signal detection
characteristic of fractal statistics
correlation dimension
joint detection
