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信号检测是信号处理的一个重要的研究方向,以前的信号检测方法多数是基于在高斯噪声背景下进行讨论,对非高斯噪声研究比较少。非高斯噪声的干扰问题在通信过程中是经常出现的。背景噪声用多模(非高斯)噪声为模型,提出改进(最小均方误差牛顿)LMS Newton算法实现对多模背景噪声的抑制,并给出了多模噪声中信号的检测,达到对有用信号提取的目的。最后,进行了计算机模拟仿真,得出了结果。
Signal detection is an important research direction of signal processing. Most of the previous signal detection methods are based on the discussion of Gaussian noise background, and few studies on non-Gaussian noise. The problem of interference of non-Gaussian noise often occurs during communication. The background noise is modeled by the multimode (non-Gaussian) noise. An improved (least mean square error Newton) LMS Newton algorithm is proposed to suppress the multimode background noise. The detection of multimode noise signal is given, The purpose of extraction. Finally, a computer simulation was carried out and the results were obtained.