摘要
介绍舰船噪声的频谱特性,并通过对频谱特性分析,研究舰船目标识别算法的可行性,最终选用DEMON谱分析与轴频提取算法作为舰船目标识别的实现方式。考虑到算法的数据处理,软硬件平台及设计选用TI公司基于DM6446高性能处理器TY-DM6446-1000开发板进行舰船目标识别算法研究,并对该算法的实验数据进行测试统计。结果显示,该算法能够实现对舰船目标特征提取和目标的精确识别,可满足应用要求。
The spectral characteristics of ship noise is introduced in the paper,and the feasibility of ship target recognition algorithm is studied through the spectrum analysis. Finally DEMON frequency spectrum analysis and axis frequency extraction algorithm have been selected as the implementation of the ship target identification. Taking into account data processing algorithms,hardware platforms and software design based on TI＇s DM6446 high performance processor TY-DM6446-1000 development board of the ship target recognition algorithm implementation have been chosen. and the data which based on the experimental algorithm were tested for implementing a statistical. The results shows that the accurate identification of the ship target feature extraction and objectives has been achieved by the algorithm to meet the application requirements.
出处
《舰船科学技术》
北大核心
2015年第2期196-199,共4页
Ship Science and Technology
关键词
舰船噪声
目标识别
特征提取
ship noise
target recognition
feature extraction
