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机构地区:[1]海军大连舰艇学院信号与信息技术研究中心,大连116018
出 处:《系统仿真学报》2009年第7期1999-2001,共3页Journal of System Simulation
摘 要:从含噪信号中恢复信号是信号处理领域的经典问题,根据自适应线谱增强器的原理,提出了基于两级NLMS自适应滤波器的噪声抵消模型和方法。并通过仿真实验和海上实录船舶辐射噪声识别实验对其进行了验证。仿真实验表明,该方法比基本的NLMS方法更能有效地消除信号中的噪声。对船舶辐射噪声的识别实验表明,当识别环境改变时,该方法仍能保证比较好的识别率,而且比基本的NLMS方法对环境改变更具有适应性。The recovery of a signal from observed noisy data is a classical problem in signal processing. According to the principle of the adaptive line enhancer, a kind of noise reduction model and method based on two NLMS self-adaptive filter was proposed. Its efficiency was tested by the simulation data and the recognition experiments of radiated noises of ships in real sea. The simulation results show that it is superior to the basic NLMS method in noise reduction. And the recognition experiments of radiated noises of ships show that the good recognition probability can be ensured using this method when the recognition environment changes. It is more adaptive to the environment changes than the basic NLMS method.
关 键 词:归一化最小均方 两级NLMS自适应滤波器 自适应噪声抵消 目标识别
分 类 号:TB566[交通运输工程—水声工程]
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