基于循环谱算法的雷达电磁环境频谱感知

Radar electromagnetic environment spectrum sensing method based on cyclic spectral algorithm

近年来,随着雷达应用场景越来越复杂,雷达工作的电磁环境中干扰信号会降低雷达性能,为解决上述问题,文中提出一种基于循环谱(Spectral Correlation Function,简称SCF)算法的雷达电磁环境频谱感知技术。首先介绍了循环谱理论;其次,针对电磁环境干扰信号在循环谱分析时存在交叉项问题,给出一种基于经验模式分解(Empirical Mode Decomposition,简称EMD)改进循环谱的算法;然后,研究了信噪比对该算法的影响;最后,通过仿真实验表明文中提出的改进的循环谱算法可有效用于感知雷达工作的电磁环境。

In recent years,with the radar application scenarios getting more and more complex,jamming signals in the electromagnetic environment of radar reducing radar performance. To solve above problems,a radar electromagnetic environment sensing method based on spectral correlation function( SCF) is discussed. Firstly,the cyclic spectral is introduced. Secondly,aiming at the cross term of the electromagnetic environmental signals when conducting the SCF,an improved SCF based on EMD is presented. Thirdly,the influence of signal-to-noise ratio( SNR) is discussed. Lastly,the simulation results show that this method is highly preferred for radar electromagnetic environment sensing.