船舶辐射噪声的自然尺度特征

详细信息

The natural measure feature of radial noises of ships

摘要: 船舶辐射噪声是非常复杂的,寻找新的特征是目前水下目标识别中的一项非常迫切而艰巨的任务。本文在研究了相空间重构技术的基础上,基于混沌信号的自然尺度提出了一种新的船舶辐射噪声的特征提取算法,此特征在分类识别实验中获得了比较好的效果。实践证明,船舶辐射噪声的自然尺度特征是一种比较有效的特征,它不仅具有较好的实时性,而且具有较高的识别率。

Abstract: Radial noises of ships are very complicated. It is an imperative and difficult task to look for the new feature from the ship noises in the classification of underwater targets. Based on the technology of phase space reconstruction and the natural measure of chaos, a novel algorithm for extracting the feature from a ship noise is proposed in this paper. The results of the experiments indicate that the feature is satisfactory. It is practically demonstrated that the feature is very effective and it not only needs little time of the extracting calculation,but also has highly accurate rate of identification.