短波信道探测中窄带干扰的去除算法  

Narrowband interference elimination algorithm in high frequency channel sounding

作　　者：刘月亮[1,2] 蒋宇中[1] 应文威[1] 

机构地区：[1]海军工程大学电子工程学院 [2]中国人民解放军91269部队

出　　处：《系统工程与电子技术》2013年第7期1527-1532,共6页Systems Engineering and Electronics

摘　　要：对于短波信道传播特性的弱信号探测,信号干扰噪声比低,如何减小干扰就显得十分重要。由于基于传统傅里叶变换去干扰算法在去窄带干扰时对幅度和相位的估计不够准确,提出了一种基于傅里叶变换和概率密度相结合的窄带干扰去除算法。仿真结果表明,该算法能很好地去除窄带干扰。但上述算法在去除实测信号中的窄带干扰时性能不佳,所以提出一种改进的傅里叶变换和概率密度相结合的窄带干扰去除算法。实验结果表明,改进后的算法能去除实测信号中的窄带干扰,为解决低信噪比条件下探测信号的参数估计奠定了基础。It is of great importance to reduce interference for low-power high frequency channel propagation characteristics sounding because the signal-to-interference-noise ratio is low.A narrowband interference elimination algorithm based on combination of the Fourier transform and the probability density is proposed for compensating the deficiencies in amplitude estimation and phase estimation of the interference elimination algorithm based on the traditional Fourier transform.Simulation results show the efficiency of the proposed algorithm.Unfortunately,the proposed algorithm is incompetent for the elimination of the interference of measurement data.Therefore,an improved narrowband interference elimination algorithm based on the combination of Fourier transform and probability density is proposed.The analysis of interference elimination of measurement data by the improved algorithm is done,which shows that the improved algorithm is competent for the elimination of the narrowband interference of measurement data.The work done above lays the foundation for signal parameters estimation under a low signal-to-noise ratio.

关 键 词：短波信道探测 窄带干扰 傅里叶变换 概率密度 

分 类 号：TN911[电子电信—通信与信息系统]