[1]陈阳,邹凌,周彬,等.基于阵不变量的浅海水声目标定位技术[J].常州大学学报(自然科学版),2016,(05):65-68.[doi:10.3969/j.issn.2095-0411.2016.05.011]
　CHEN Yang,ZOU Ling,ZHOU Bin,et al.Underwater Target Localization Based on Array Invariant in Shallow Water[J].Journal of Changzhou University(Natural Science Edition),2016,(05):65-68.[doi:10.3969/j.issn.2095-0411.2016.05.011]
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基于阵不变量的浅海水声目标定位技术()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
期数:
2016年05期
页码:
65-68
栏目:
计算机与信息工程
出版日期:
2016-09-30

文章信息/Info

Title:
Underwater Target Localization Based on Array Invariant in Shallow Water
作者:
陈阳1; 邹凌1; 周彬2; 余赟3; 张硕1
1.常州大学 信息科学与工程学院,江苏 常州 213164; 2.杭州应用声学研究所 声呐技术重点实验室,浙江 杭州 310023; 3.海军装备研究院,北京 100161
Author(s):
CHEN Yang1;  ZOU Ling1;  ZHOU Bin2;  YU Yun3;  ZHANG Shuo1
1.School of Information Science and Engineering,Changzhou University,Changzhou 213164,China; 2.Science and Technology on Sonar Laboratory,Hangzhou Applied Acoustics Research Institude,Hangzhou 310023,China; 3.Naval Academy of Armament,Beijing 100161,China
关键词:
水声定位;  波导频散;  阵不变量
Keywords:
underwater acoustic localization;  waveguide dispersion;  array invariant
分类号:
O 42
DOI:
10.3969/j.issn.2095-0411.2016.05.011
文献标志码:
A
摘要:
提出了一种基于阵不变量理论的浅海目标定位方法。在简正波理论下,推导了阵列接收信号常规波束形成波束输出与单阵元测量声压的互相关声强包络峰值关于模态传播时延和方位的分布结构。分析表明,该结构包含了目标方位和距离信息; 在波束-时域声强图中,利用Radon变换提取包络峰值的分布结构,进而可以估计目标的方位和距离。仿真研究结果表明,利用该方法能够有效地对目标实现测向和测距,具有较高精度。
Abstract:
An underwater target localization mathed based on array invariant in shallow water is proposed. Based on normal modes theory, the cross correlation intensity of the receiving array’s conventional beamforming output and the pressure signal of one element is derived. And the distribution of the cross correlation intensity envelop as the function of modes’ travel time delay and array scan angle is analyzed. It is indicated that this distribution contains the information of target’s bearing and range. Taking the use of Radon transform, the distribution in beam-time image can be extracted to estimate the bearing and range. The simulation results demonstrate that the target bearing and range can be estimated effectively with this method, which is highly accurate.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-06-24。基金项目:国家自然科学基金资助项目(61501061,11404406); 江苏省科技厅产学研项目(BY2014037-27)。作者简介:陈阳(1982—),男,江苏常州人,博士,讲师,主要从事信号处理研究。
更新日期/Last Update: 2016-10-10