基于AR模型的船舶瞬态噪声分析方法研究

H. Zhang, Sande Wang, Tongkui Yu, Bo Zhang, Jin Lin, Yanqiong Liu
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引用次数: 0

摘要

随着武器装备的快速发展,各国舰艇、潜艇等海军武器装备的噪声已被控制到很低的水平。由于目前的频谱分析方法对这类信号的分析和处理能力有限,这对我们的目标检测和识别技术提出了更高的要求。基于自回归方法在信号处理和高分辨率方面的优势,并与参数化方法兼容,本文研究了AR模型在瞬态噪声噪声源识别与分析中的应用,建立了基于自回归模型的短时高分辨率频谱分析方法。并通过对已知成分瞬态噪声信号的仿真分析和对实船实际瞬态噪声试验数据的分析,该方法能够准确地获得瞬态噪声的产生时间和特征谱,具有较强的工程应用价值。
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Research on Transient Noise Analysis Method of Ship Based on AR Model
With the rapid development of weapons and equipment, the noise of naval weapons and equipment such as ships and submarines in various countries has been controlled to a very low level. Because the current spectrum analysis method has limited ability to analyze and process such signals, this puts higher requirements on our target detection and recognition technology. Based on the advantages of autoregressive method in signal processing and high resolution, and compatible with parametric methods, this paper studies the application of AR model in the identification and analysis of noise sources of transient noise, and establishes a short-time high resolution spectral analysis method based on autoregressive model. And through the simulation and analysis of the known component transient noise signal and the actual transient noise test data analysis of the real ship, the method can accurately obtain the transient noise generation time and characteristic spectrum, which has strong application value in terms of engineering.
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