| 杜金燕,孙超.典型浅海声场环境中的简正波估计[J].声学技术,2009,(6):719~724 |
| 典型浅海声场环境中的简正波估计 |
| Estimation of normal modes in classical shallow ocean acoustic environment |
| 投稿时间：2008-12-08 修订日期：2009-03-09 |
| DOI： |
| 中文关键词: 模基辨识器 高斯-马尔可夫模型 简正波 扩展卡尔曼滤波器 |
| 英文关键词: model-based identifier Gauss-Markov model normal mode extended Kalman filer |
| 基金项目:国家安全重大基础研究项目(613660203014) |
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| 中文摘要: |
| 海洋环境的复杂性和多变性严重影响了水下信号处理系统的性能。若能在信号处理之前辨识出海洋环境参数,并将其融入信号处理框架中,则有希望提高信号处理器的性能,得到更好的滤波、检测、定位和跟踪效果。将海洋环境建模为高斯-马尔可夫模型,利用声速梯度数据和由Kraken模型得到的声压场数据,结合扩展的卡尔曼滤波器算法,实现了对简正波的估计。利用该模基处理方法,可以辨识出简正波的模函数和水平波数,并能估计出基阵所在位置的声压场。在两种典型浅海声场环境下进行的计算机仿真证明了算法的有效性。 |
| 英文摘要: |
| The complexity and inconstancy of the ocean environment lead to low performances of signal processing system.If ocean environment parameters can be identified before signal processing and then incorporated into signal processing schemes,it is contemplated to improve overall processor performance and to achieve the better enhancement,detection,localization and tracking.Ocean environment is modeled as a Gauss-Markov process.According to the sound velocity profile and the pressure field derived from the Kraken model,the extended Kalman filter algorithm is used to perform estimation of normal modes.By this approach,the modal functions and the horizontal wave numbers of normal mode model can be identified,and the pressure field at the receiver array can be estimated.Simulations under two classical shallow water environments are performed for indicating the well performance of the algorithm. |
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