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基于倒谱分析的被动水声目标原始信号重构方法
引用本文:袁见,李国辉,徐新文.基于倒谱分析的被动水声目标原始信号重构方法[J].计算机工程与科学,2007,29(8):140-143.
作者姓名:袁见  李国辉  徐新文
作者单位:国防科技大学信息系统与管理学院,湖南,长沙,410073
摘    要:被动声纳捕捉的水下目标辐射噪声信号可视为由目标动力系统产生的周期性激励信号,以及该激励信号经由本身传输与扩散后的辐射信号与海洋传输信道的传递函数卷积构成 。要对水下目标进行分类识别,首先要滤除无用噪声对信号的干扰。本文通过同态分析实现这一目的,首先利用倒谱分析将各噪声分量变为线性相加关系,再利用时间窗整形
形与滤波器滤波实现信号分量及信道的分离,以便提取信号特征进行分类。实验证明,基于倒谱的信号重构法能够较为准确地复原包含目标传输特性的原始信号,便于对目标进行特征提取与分类识别。

关 键 词:倒谱分析  RASTA滤波  信号重构  水下目标识别
文章编号:1007-130X(2007)08-0140-04
修稿时间:2006-06-142006-09-13

A Cepstrum Analysis Based Reconstruction Method for the Original Passive Underwater Acoustic Signals
YUAN Jian,LI Guo-hui,XU Xin-wen.A Cepstrum Analysis Based Reconstruction Method for the Original Passive Underwater Acoustic Signals[J].Computer Engineering & Science,2007,29(8):140-143.
Authors:YUAN Jian  LI Guo-hui  XU Xin-wen
Affiliation:School of Information System and Management, National University of Defense Technology, Changsha 410073 ,China
Abstract:The underwater target's radiated noise posed through the convolution of the excitation source transferred and diffused by the target's body and the  signal which is captured by passive signal produced periodically by the sonar can be considered to be corntarget itself, and the radiated signal transfo  rm function of the oceanic acoustic channel, To recognize the underwater targets, the first step is to filter the hash. This paper achieves this goal th  rough homomorphic analysis. First of all, the relationships between the components of noise are converted to linear summarization through a cepstrum tra  nsform. Then the components of noise and the oceanic acoustic channel are separated through the time window and filtering. These processes are helpful i n distilling the signal features and to classify the targets. Experiments show that the proposed signal reconstruction method can precisely recover the   original signal. This will be convenient for the forthcoming feature extraction step and the classification step.
Keywords:cepstrum analysis  RASTA filtering  signal reconstruction  underwater target recognition
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