【作者】 朱少豪； 杨坤德； 陈铖；

【Author】 ZHU Shao-hao;YANG Kun-de;CHEN Cheng;School of Marine Science and Technology, Northwestern Polytechnical University;

【机构】 西北工业大学航海学院；

【摘要】 本文对实际舰船信号的谱分析采用了功率谱和包络谱的联合估计。采用现代谱估计中的最大熵Burg法对实测舰船信号的进行功率谱估计,相较于经典谱估计能够在较宽的频带内得到平滑的连续谱和具有高分辨率的线谱;并在自适应滤波的基础上,采用CZT频谱细化的方法对信号进行包络谱分析,可以实现对任意频带的谱估计,提高计算精度的同时大大减少了计算量。从功率谱和包络谱中分别提取到潜艇、鱼雷等水下航行器的机械噪声信息和螺旋桨的轴频、叶片数等信息,并总结了噪声功率谱和包络谱之间的关系,这有助于舰船目标的有效识别。更多还原

【Abstract】 Power spectrum estimation and envelop spectrum estimation are combined to analyze the real ship signals. The power spectrum is estimated by Burg method, and compared to the conventional power spectrum methods, the line spectrum is much smoother and the resolution ratio is higher. After self-adaptive filtering the signals, we estimate the envelop spectrum with Chip-z transform(CZT), which can estimate spectrum of arbitrary frequency bandwidth. It not only improves the frequency precision, but also saves computational amount. The mechanical noise and propeller shaft frequency of the ship can be extracted from power spectrum and envelop spectrum separately. The relationship between the two kinds of spectrum is summarized, which contributes to the target recognition.更多还原