摘要
研究舰船目标识别问题,舰船辐射噪声的特征提取一直是信号处理工程领域的难点。原因是海洋环境的复杂性和水声信道的特殊性,导致从复杂背景噪声中获取舰船信号特征显得比较困难。针对上述情况,提出了高阶谱和倒谱等多种类型的提取方法。根据舰船辐射噪声不同的特性,选择合适的提取方法,获取更多的线谱特征和抑制干扰噪声的特征信号。最后,采用高阶统计量的双谱、三谱、1维谱和倒谱对实测信号和仿真信号进行了特征提取,并指出各种提取方法所具有的优越性。实验结果表明特征提取方法是可行的,从而为目标识别提供有效的特征量。
The feature extraction of ship radiated noise is a research challenge in signal processing application.Due to the complexity of marine environment and the special nature of underwater acoustic channel,it is difficult to obtain ship radiated noise＇ signals from the complex background noise.Under this situation,this paper proposed the several extraction methods of higher order spectrum and cepstrum.Firstly,it selected the appropriate extraction method based on different feature of ship radiated noise,in order to extract the feature signals which has more line-spectrum and the ability to suppress interference noise.At last,real signals as well as the simulated signals were extracted by the characteristics of the bispectrum,three spectrum,11/2 spectrum of higher-order statistics and cepstrum.We also pointed out the advantages of using the extraction methods to extract ship radiated noises.The results of the experiment show that extraction methods are feasible,which are helpful to provide effective feature for target recognition.
出处
《计算机仿真》
CSCD
北大核心
2011年第11期5-9,共5页
Computer Simulation
关键词
高阶统计量
双谱
三谱
倒谱
特征提取
Higher order statistics
Bispectrum
Three Spectrum
Cepstrum
Feature extraction
