摘要
超低频遥控系统受大气噪声干扰严重,传统的匹配滤波器性能退化明显,为提高超低频遥控系统的可靠性,研究了系统中的噪声建模与抑制技术。通过对实测数据的分析验证了采用对称α稳定(SαS)分布拟合信道噪声的可行性,从分布模型出发,通过仿真研究了Myriad滤波器、局部最优检测器和削波器对超低频大气噪声的抑制效果。结果表明:SαS分布可以作为超低大气噪声的幅度概率分布模型;Myriad滤波器能够以较低的计算复杂度实现对超低频大气噪声的有效抑制。
Super low frequency （SLF） remote control system is disturbed by the atmospheric noise seriously, and the performance of traditional matched filter degenerates obviously. In order to improve the reliability of the SLF remote control system, the corresponding noise model and signal processing method are researched. Analysis of measured data verifies the feasibility of the symmetric a-stable （SαS） distribution fitting of channel noise. Based on the SαS distribution model, the inhibitory effect of Myriad filters, locally optimal detectors （LOD）, and clippers to SLF atmospheric noise are researched. The results show that SαS distribution can serve as amplitude probability distribution （APD） model, and Myriad filters can lower the computational complexity to achieve effective suppression of SLF atmospheric noise.
出处
《电波科学学报》
EI
CSCD
北大核心
2011年第2期332-338,共7页
Chinese Journal of Radio Science
