期刊文献+

起伏海面环境下水声信道特性及估计方法 被引量:4

Characteristic and estimation method of underwater acoustic channel in fluctuant sea environment
下载PDF
导出
摘要 为了研究随机起伏海面的散射对水声信道特性的影响,以及不同信道估计算法在该信道条件下的性能问题,该文从利用Monte Carlo方法模拟的基于PM海浪谱的二维随机起伏海面出发,提取了与风向不同夹角的一维随机起伏海面,并利用Kirchhoff近似法计算了其散射强度。将得到的声散射特性和海面环境信息融入到信道模型中,建立了基于PM海浪谱的随机信道模型。通过仿真分析了不同风速、传播距离条件下,声波的传播损失和信道冲激响应变化,并利用l_0-最小均方误差法、匹配追踪算法和正交匹配追踪算法进行了信道估计。给出了不同环境条件下,三种算法估计性能的综合比较结果,验证了算法针对该信道模型的有效性。 In order to study the influence of the scattering of random fluctuation sea surface on the characteristics of underwater acoustic channel,and the performance of different channel estimation algorithms under this channel condition,this paper starts from the two-dimensional random fluctuation sea surface based on the PM wave spectrum simulated by the Monte Carlo method,a one-dimensional random fluctuation sea surface with different angles to the wind direction is extracted,and the scattering intensity is calculated using the Kirchhoff approximation.The obtained acoustic scattering characteristics and sea surface environmental information were integrated into the channel model,and a random channel model based on PM wave spectrum was established.Through simulation,the propagation loss of acoustic wave and channel impulse response under different wind speeds and propagation distances were analyzed.The channel estimation was performed by using l0-LMS algorithm,MP algorithm and OMP algorithm.The comprehensive comparison results of the three algorithms’estimation performance under different environmental conditions are given,and the effectiveness of the algorithms against this channel model is verified.
作者 陈文剑 郎鹏远 尹爽 殷敬伟 孙辉 韩笑 CHEN Wenjian;LANG Pengyuan;YIN Shuang;YIN Jingwei;SUN Hui;HAN Xiao(Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China)
出处 《应用声学》 CSCD 北大核心 2018年第5期722-731,共10页 Journal of Applied Acoustics
基金 国家自然科学基金重点项目(61631008) 国家自然科学基金青年基金项目(11404077) 国家海洋公益性行业科研专项(201405036)
关键词 声散射 海浪谱 水声信道特性 信道估计 Acoustic scattering Wave spectrum Characteristic of underwater acoustic channel Channel estimation
  • 相关文献

参考文献4

二级参考文献27

  • 1西蒙·赫金著,郑宝玉译.自适应滤波器原理(第四版).北京:电子工业出版社,2006:504.
  • 2Paul C.Etter著,蔡志明译.水声建模与仿真.北京:电子工业出版社,2005:156.
  • 3Ifeachor,E.C.著,罗鹏飞译.数字信号处理实践方法(第二版).北京:电子工业出版社,2004:180.
  • 4Michael B. Porter. The KRAKEN Normal Mode Program. SACLANT Undersea Research Centre. May 2001.
  • 5殷敬伟,惠俊英,王燕,刘洋.虚拟时间反转镜Pattern时延差编码水声通信[J].系统仿真学报,2007,19(17):4033-4036. 被引量:14
  • 6Simon Haykin,郑宝玉译.自适应滤波器原理(第4版).北京:电子工业出版社,2003,504-526.
  • 7B. Farhang-Boroujeny, S. Gazor. Performance of LMS- based adaptive filters in tracking a time-varying plant. IEEE Trans. on Signal Processing, 1996, 44(11)..2868 2871
  • 8S. Gazor. Prediction in LMS-type adaptive algorithms for smoothly time raring environments. IEEE Trans. on Signal Processing, 1999, 47(6):1735-1739.
  • 9Y. Xue and X. Zhu. Wireless channel tracking based on self tuning second-order LMS algorithm. IEEE Proc. Commun. , 2003,150(2) :115- 120.
  • 10K. Shahtalebi, S. Gazor, S. Pasupthy et al. Second-or der H∞ optimal LMS and NLMS algorthms based on a second-order Markov model. IEE Proc.-Vis. Image Signal Process, 2000, 147(3) : 231-237.

共引文献20

同被引文献16

引证文献4

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部