基于循环相关检测方法的浅水信道多径特性分析

张 雪; 王海燕; 白 峻

doi:10.11993/j.issn.1673-1948.2009.06.010

基于循环相关检测方法的浅水信道多径特性分析

doi: 10.11993/j.issn.1673-1948.2009.06.010

西北工业大学航海学院,陕西西安,710072

基金项目: 部级国防科研基金项目资助（06J4.5.1)

详细信息

作者简介:
张雪（1984-) ，女，在读硕士，研究方向为水下通信技术。

中图分类号: TJ630.34;TN911.23
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- 被引次数: 0
出版历程
- 收稿日期: 2008-09-01
- 修回日期: 2009-12-17
- 刊出日期: 2009-12-30

Shallow Water Acoustic Channel Multi-path Analysis Based on Cyclic-Correlation Detection

College of Marine Engineering,Northwestern Polytechnical University,Xi′an 710072,China

摘要

摘要: 基于浅水信道模型，建立了具有循环平稳性的线性调频信号多径模型，利用龙格库塔方法对本征声线的理论参数值进行计算，用拷贝相关检测方法进行检测。为了对比检测效果，本文基于循环相关检测方法，采用了一种估计循环频率特征的浅水信道多径分析方法，该方法通过在频域估计循环频率的峰数和位置，可以在时域内准确估算浅水通信的多径数和相应的时延，与拷贝相关检测方法相比可以提高检测性能。将试验获得的水声传播参数应用于所建浅水信道多径模型，分别估算出浅水通信试验的信号多径时延特征，检测结果与理论结果相符，本文采用的方法能更加清晰的分辨各峰值与多径时延，很好地估计浅水声通信系统的信道传输多径特性，说明本文算法的有效性和优越性。
- 浅水通信 /
- 多径特性 /
- 龙格库塔方法 /
- 循环相关 /
- 拷贝相关
Abstract: Based on shallow acoustic communication channel model, we establish a multi-paths model of linear frequency modulation(LFM) with cyclic-correlation characteristics,and calculate the theoretical value of intrinsic sound ray using Runge-Kutta method, and detect the result with the copy correlation testing method.For contrast, a new method combining with cyclic-correlation detection is presented for shallow water channel multi-path analysis through estimating cyclic-frequency characteristics.The number of multi-path and the corresponding time delays can be precisely estimated with this method, and the detection performace of the present method is improved compared with the copy correlation testing method. Adopting the sound propagation parameters from trials in reservoir and sea, the peak value and time delays in shallow water communication are estimated with the present method,and the results coincide well with the theoretical ones,which indicates that the present method is effective and better than copy correlation detection.
- shallow acoustic communication /
- multi-path characteristic /
- Runge-Kutta method /
- cyclic-correlation /
- copy correlation

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参考文献(4)

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[4]	Yeung G K, Gardner W A. Search-Efficient Methods of Detection of Cyclostationary Signals.IEEE Transactions on Signal Processing,1996,44(5):1214-1223.