基于Zoom-FFT频谱细化的水声目标螺旋桨轴数提取技术  

Propeller Shaft Number Extraction of Underwater Acoustic Target Based on Zoom-FFT Spectrum Zooming

作　　者：张振华[1] 王海宁[1] 张中戈 ZHANG Zhenhua;WANG Haining;ZHANG Zhongge(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第二十八研究所,南京210007

出　　处：《指挥信息系统与技术》2020年第4期84-88,共5页Command Information System and Technology

基　　金：中国电科联合基金资助项目。

摘　　要：基于对水声目标调制谱结构特征的分析,在传统包络信号探测(DEMON)谱分析方法基础上,采用细化-快速傅里叶变换(Zoom-FFT)算法,提高轴频位置带宽内的频率分辨率,实现频谱细化处理,从而提取到水声目标螺旋桨轴数。利用实测信号数据及仿真试验数据进行了分析验证。试验结果表明,该算法对于水声目标螺旋桨轴数的识别准确率可达80%以上,具有工程实用价值。Based on the analysis of the modulation structure characteristics of underwater acoustic targets,through the traditional detection of the envelope modulation on noise(DEMON)spectrum analysis method,the Zoom-fast Fourier transform(Zoom-FFT)is adopted to improve the frequency position and realize the spectrum refining processing,which can better extract the number of propeller shafts of underwater acoustic targets.The measured signal data and the simulation experiment data are used for analysis and verification.The experiment results show that the recognition accuracy rate of the propeller shaft number of the underwater acoustic targets can reach more than 80%,which is of practical value in engineering.

关 键 词：细化-快速傅里叶变换分析 包络信号探测谱 轴数 水声目标识别 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]