文章摘要
陈文剑,郎鹏远,尹爽,殷敬伟,孙辉,韩笑.起伏海面环境下水声信道特性及估计方法*[J].,2018,37(5):722-731
起伏海面环境下水声信道特性及估计方法*
Characteristic and estimation method of underwater acoustic channel in fluctuant sea environment
投稿时间:2018-06-07  修订日期:2018-09-06
中文摘要:
      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l0-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。
英文摘要:
      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.
DOI:10.11684/j.issn.1000-310X.2018.05.017
中文关键词: 声散射,海浪谱,水声信道特性,信道估计
英文关键词: acoustic scattering, wave spectrum, characteristic of underwater acoustic channel, channel estimation
基金项目: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11404077;国家海洋公益性行业科研专项201405036。
作者单位E-mail
陈文剑 哈尔滨工程大学水声技术重点实验室 yinjingwei@hrbeu.edu.cn 
郎鹏远 哈尔滨工程大学水声技术重点实验室 yinjingwei@hrbeu.edu.cn 
尹爽 哈尔滨工程大学水声技术重点实验室 yinjingwei@hrbeu.edu.cn 
殷敬伟 哈尔滨工程大学水声技术重点实验室 yinjingwei@hrbeu.edu.cn 
孙辉 哈尔滨工程大学 水声工程学院 yinjingwei@hrbeu.edu.cn 
韩笑 哈尔滨工程大学水声技术重点实验室 yinjingwei@hrbeu.edu.cn 
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