多模噪声背景下信号提取算法的研究

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。

Study on Signal Extraction Algorithm in Multi-modal Hybrid Noise

Signal detection is one of the most important research topics in the signal process domain.The previous detection methods are mostly based on the Gaussian noise,and seldom on non-Gaussian noise.The disturbance of non-Gaussian noise is very common in communication process.Background noise is with multi-modal hybrid（non-Gaussian） noise as its model,thus the improved LMS Newton algorithm is proposed in order to control the multi-modal background noise,and thus acquire the useful signal.Finally,the computer simulation gives the corresponding results.