基于稀疏处理的宽带声呐抗混响方法

Hao Wang, Feng Wang, Yangze Dong
{"title":"基于稀疏处理的宽带声呐抗混响方法","authors":"Hao Wang, Feng Wang, Yangze Dong","doi":"10.1145/3573428.3573480","DOIUrl":null,"url":null,"abstract":"Reverberation is the main factor that limits the detection of close-range targets by an active sonar system. In this paper, a sparse processing method of dynamic measurement vector is proposed to realize the parameter reconstruction of reverberation and target for broadband sonar scenario. In this method, the high-resolution parameters are reconstructed one by one along the coarse resolution range bin in the reverberation region, and a tolerance term is added in the iterative process of reconstruction to distinguish reverberation and target. The measurement vector is updated synchronously during the phase atom search of the dictionary matrix, which effectively overcomes the range migration of the target and reverberation. Simulation results show that the proposed method can achieve accurate reconstruction and detection of target parameters in a reverberation background.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"31 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Anti-reverberation Approach for wideband Sonar: Based on Sparse Processing\",\"authors\":\"Hao Wang, Feng Wang, Yangze Dong\",\"doi\":\"10.1145/3573428.3573480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reverberation is the main factor that limits the detection of close-range targets by an active sonar system. In this paper, a sparse processing method of dynamic measurement vector is proposed to realize the parameter reconstruction of reverberation and target for broadband sonar scenario. In this method, the high-resolution parameters are reconstructed one by one along the coarse resolution range bin in the reverberation region, and a tolerance term is added in the iterative process of reconstruction to distinguish reverberation and target. The measurement vector is updated synchronously during the phase atom search of the dictionary matrix, which effectively overcomes the range migration of the target and reverberation. Simulation results show that the proposed method can achieve accurate reconstruction and detection of target parameters in a reverberation background.\",\"PeriodicalId\":314698,\"journal\":{\"name\":\"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering\",\"volume\":\"31 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3573428.3573480\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573428.3573480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

混响是制约主动声呐系统对近距离目标探测的主要因素。为了实现宽带声纳场景下混响和目标的参数重建,提出了一种动态测量矢量的稀疏处理方法。该方法在混响区域沿粗分辨率范围仓逐条重建高分辨率参数,并在重建迭代过程中加入容差项来区分混响和目标。在字典矩阵的相位原子搜索过程中同步更新测量向量,有效地克服了目标的距离偏移和混响。仿真结果表明,该方法可以在混响背景下实现目标参数的精确重建和检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Anti-reverberation Approach for wideband Sonar: Based on Sparse Processing
Reverberation is the main factor that limits the detection of close-range targets by an active sonar system. In this paper, a sparse processing method of dynamic measurement vector is proposed to realize the parameter reconstruction of reverberation and target for broadband sonar scenario. In this method, the high-resolution parameters are reconstructed one by one along the coarse resolution range bin in the reverberation region, and a tolerance term is added in the iterative process of reconstruction to distinguish reverberation and target. The measurement vector is updated synchronously during the phase atom search of the dictionary matrix, which effectively overcomes the range migration of the target and reverberation. Simulation results show that the proposed method can achieve accurate reconstruction and detection of target parameters in a reverberation background.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信