摘要
有效进行水下目标识别中,提取目标特征是其关键。对水下目标识别的相关研究能够为水中兵器智能化攻击提供理论依据。为此,提出一种基于关联维度特征的改进水下目标模式识别方法在论述了混沌的定义和特征的基础上,研究了关联维数这一重要混沌特征量的计算方法,对关联维数的算法进行改进,提高了运算速度和精度。仿真实验中以实测水下目标辐射噪声数据为载体,提取了水下目标辐射噪声的关联维数混沌特征,结果表明通过提取关联维数混沌特征的方法能有效分类识别。
In order to extract the underwater targets feature and achieve target recognition destination and afford the theo-ry basement for the attacking intelligent underwater weapon. The definition and property of chaos was proposed, the algo-rithm of chaotic feature called correlation dimension was researched and improved so that the arithmetic speed and arith-metic accurate was improved. The real collected underwater target radiated data was taken in the simulation experiment. The correlation dimension feature was extracted in the simulation. Simulation result shows that the technique of underwa-ter target recognition based on correlation feature can classify and recognize the target effectively.
出处
《科技通报》
北大核心
2014年第2期191-193,共3页
Bulletin of Science and Technology
关键词
混沌
水下目标
目标识别
特征提取
chaos
underwater target
target recognition
feature extraction
