摘要
检测淹没在强背景噪声中的窄带信号是信号处理中的一个重要问题。通过改进传统的自相关和多重自相关检测方法,提出了二次循环自相关检测方法。在几种强背景噪声下,通过快速傅立叶变换(FFT)功率谱估计的计算机仿真实验,证明了所提的方法在检测能力方面优于传统方法。根据FFT的特性,还估计出了强噪声中信号的幅度。
Detecting narrowband signal in intensive background noise is an important task in signal processing. This article presents the secondary circle auto-correlation detecting method by improving the traditional auto-correlation and multi-auto-correlation detecting method. In several kinds of intensive background noise, it＇s testified that the method referred is superior than the traditional method in the aspect of detection ability by the computer simulation experiment for fast Fourier transform（FFT） power spectrum estimation. According to the characteristics of FFT, the signal amplitude in intensive background noise has been estimated in this paper.
出处
《舰船电子对抗》
2008年第4期88-90,96,共4页
Shipboard Electronic Countermeasure
关键词
强背景噪声
信号检测
二次循环自相关
intensive background noise
signal detection
secondary circular auto-correlation
