| 杨秀庭,曹涛,李敏.基于广义高斯噪声模型的低频线谱检测[J].声学技术,2011,(2):129~132 |
| 基于广义高斯噪声模型的低频线谱检测 |
| Low frequency line spectrum detection based on generalized Gaussian noise model |
| 投稿时间：2010-04-20 修订日期：2010-07-10 |
| DOI： |
| 中文关键词: 广义高斯分布 线谱检测 最大似然估计 |
| 英文关键词: generalized Gaussian distribution Line spectrum detection maximum likelihood estimation |
| 基金项目:博士后基金资助项目(20090461462) |
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| 摘要点击次数: 1237 |
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| 中文摘要: |
| 研究浅海环境噪声中低频线谱的检测问题。首先对实测海洋环境噪声的统计特性进行分析,提出了应用广义高斯分布对海洋环境噪声建模方法。在此基础上,针对低频线谱检测问题,推导了广义高斯噪声场中的最大似然检测器和渐近检测器,给出了弱线谱条件下线谱频率的最大似然估计。最后,利用实测数据对三种检测器的线谱检测性能进行了验证,结果表明:噪声模型准确度对检测器性能具有重要影响,广义最大似然检测器最佳,渐近检测器次之,相关检测器最差。 |
| 英文摘要: |
| The problem of line spectrum detection in shallow water is investigated in this paper.The statistics of ambient noise recorded in sea trials is firstly analyzed by distribution fitting and Kolmogorov-Smirnov test,and the generalized Gaussian distribution is proved to be an appropriate model for ambient noise modeling.Thereafter,the generalized maximum likelihood detector(MLD) and asymptotic detector are deduced and the maximum likelihood estimation of frequency is proposed under the assumption of weak signal.The performances of three types of line spectrum detectors have been verified by simulation,and the results show that the accuracy of noise model plays an important role for signal detection and the MLD is an optimal one for line spectrum detection in ambient noise. |
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