[1]王辛,郭龙祥,生雪莉,等.基于CIES-CA的水声阵列多目标方位估计技术[J].哈尔滨工程大学学报,2021,42(2):246-252.[doi:10.11990/jheu.202007054]
 WANG Xin,GUO Longxiang,SHENG Xueli,et al.Multi-target azimuth estimation of underwater acoustic array based on a coprime array with compressed inter-element spacing (CIES-CA)[J].Journal of Harbin Engineering University,2021,42(2):246-252.[doi:10.11990/jheu.202007054]
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基于CIES-CA的水声阵列多目标方位估计技术(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
42
期数:
2021年2期
页码:
246-252
栏目:
出版日期:
2021-02-05

文章信息/Info

Title:
Multi-target azimuth estimation of underwater acoustic array based on a coprime array with compressed inter-element spacing (CIES-CA)
作者:
王辛123 郭龙祥123 生雪莉123 殷敬伟123 李佳馨123
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. 海洋信息获取与安全工业和信息化部重点实验室(哈尔滨工程大学), 黑龙江 哈尔滨 150001;
3. 哈尔滨工程大学 水声工程学院, 黑龙江 哈尔滨 150001
Author(s):
WANG Xin123 GUO Longxiang123 SHENG Xueli123 YIN Jingwei123 LI Jiaxin123
1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
2. Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China;
3. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
互质阵子阵间距压缩多目标方位估计子空间分类算法虚拟阵元法多目标方位分辨概率多目标方位估计误差通道幅相误差阵元位置误差
分类号:
TB566
DOI:
10.11990/jheu.202007054
文献标志码:
A
摘要:
为了使用较少阵元数的水声阵列实现多目标方位估计,本文针对基于子阵间距压缩的互质阵列进行研究分析。利用子空间分类算法与虚拟阵元法,在考虑阵列误差的情况下分析多目标方位估计性能。通过数值验证,在低信噪比、高阵列误差的情况下,基于子阵压缩的互质阵性能明显优于均匀直线阵与原型互质阵,且压缩倍数越大性能越高。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-07-10。
基金项目:国家重点研发计划(2018YFC1405906);国家自然科学基金项目(51779061).
作者简介:王辛,男,博士研究生;郭龙祥,男,教授,博士生导师;殷敬伟,男,教授,博士生导师,"长江学者奖励计划"青年学者.
通讯作者:郭龙祥,E-mail:heu503@126.com.
更新日期/Last Update: 2021-02-27