一种基于频谱细化技术的水下目标识别方法  

An Underwater Target Recognition Method Based on Frequency Zoom Technology

作　　者：邱政[1] 汪锋[1] 潘元璋[1] 

机构地区：[1]91388部队

出　　处：《电子科技》2015年第7期56-59,共4页Electronic Science and Technology

摘　　要：被动声纳目标识别主要是根据目标辐射噪声的不同实现的,如何从水下目标辐射噪声中提取有效的识别特征,是实现水下目标识别的关键环节。文中在分析目标辐射噪声特点的基础上,利用一种改进的高频噪声解调分析(DEMON)方法进行目标线谱提取,在提取线谱的过程中,利用小波变换进行DEMON谱融合得到明显的DEMON线谱,再通过频域周期图法对DEMON谱进行净化,以便可靠地提取线谱。仿真及试验结果验证了所提方法的有效性和可行性。Passive sonar target recognition is realized according to different target radiation noises. The extraction of effective features from the underwater target radiated noise is the key to underwater target recognition. Based on the analysis of the characteristics of the target radiation noise,an improved high frequency noise demodulation（ DEMON） method for target extraction of line spectrum is proposed. A distinct DEMON line spectrum is extracted by spectrum DEMON spectrum fusion using wavelet transform,and then purified by the frequency cycle diagram method for reliable line spectrum extraction. Simulation and experimental results verify the validity and feasibility of the proposed method.

关 键 词：线谱 目标识别 小波变换 DEMON分析 

分 类 号：TB533[理学—物理]