[1]李秀坤,杨阳,杨梅.水下目标回波与混响的分数阶Fourier域盲分离[J].哈尔滨工程大学学报,2019,40(04):786-791.[doi:10.11990/jheu.201709135]
 LI Xiukun,YANG Yang,YANG Mei.Blind source separation of underwater target echoes and reverberation in fractional Fourier domain[J].hebgcdxxb,2019,40(04):786-791.[doi:10.11990/jheu.201709135]
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水下目标回波与混响的分数阶Fourier域盲分离(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2019年04期
页码:
786-791
栏目:
出版日期:
2019-04-05

文章信息/Info

Title:
Blind source separation of underwater target echoes and reverberation in fractional Fourier domain
作者:
李秀坤12 杨阳12 杨梅12
1. 哈尔滨工程大学 水声技术重点实验室, 黑龙江 哈尔滨 150001;
2. 哈尔滨工程大学 水声工程学院, 黑龙江 哈尔滨 150001
Author(s):
LI Xiukun12 YANG Yang12 YANG Mei12
1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
目标声散射回波混响亮点模型分数阶Fourier变换盲分离信混比
分类号:
TN911.7
DOI:
10.11990/jheu.201709135
文献标志码:
A
摘要:
海底混响是水下掩埋目标探测的主要干扰,而掩埋层对声波的吸收导致声散射回波信号微弱。针对强干扰下的弱信号分离的问题,研究了目标声散射回波与混响在最佳分数阶Fourier变换域中的能量聚集性差异,提出了目标回波与混响的分数阶Fourier域盲分离方法。推导了目标几何声散射成分与混响在最佳分数阶Fourier域的能量分布特性,通过在最佳分数阶Fourier域构建广义相关矩阵构建目标函数,分离出目标回波声散射信号。仿真与数据处理结果表明:分数阶Fourier域盲分离算法分离出了目标声散射信号,提高了目标回波信号的信混比;与时频域盲分离算法相比,避免了在时频面上对目标自项时频点的选取,低信混比下分离效果好。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-09-30。
基金项目:国家自然科学基金项目(11774073,51279033);黑龙江省自然科学基金项目(F201346).
作者简介:李秀坤,女,教授,博士生导师.
通讯作者:李秀坤,E-mail:lixiukun@hrbeu.edu.cn
更新日期/Last Update: 2019-04-03