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一、引言声纳基阵输出端的噪声的特点是它的统计性质具有高度的时间不稳定性。这种不稳定性一方面来自干扰噪声源的多样性,一方面来自干扰噪声源本身声级的随机起伏。这种现象既不能够事先知道,也不能预测。古典的用于性质事先知道的平稳或非平稳模型的信号处理技术无法应付这类情况。我们需要采用自适应处理技术。所谓自适应处理技术指的是一种自动地适应环境噪声变化的方法,它竭尽所能学习周围环境,并通过对这种环境变化的学习和不断地控制来实现自适应处理。
I. INTRODUCTION The noise at the output of a sonar array is characterized by a high degree of temporal instability in its statistical properties. On the one hand, this instability comes from disturbing the diversity of noise sources, on the one hand, from random fluctuations that disturb the sound level of the noise sources themselves. This phenomenon can neither be known in advance, nor can it be predicted. The classical signal processing techniques used for stationary or non-stationary models known in advance of nature can not cope with such situations. We need adaptive processing. The so-called adaptive processing technology refers to a method to automatically adapt to changes in environmental noise, which makes every effort to learn the surrounding environment, and through the learning and continuous control of this environmental changes to achieve adaptive processing.