机载雷达距离-多普勒域多帧STAP策略

Xingyue Long, Wen Qin, Wei Zhang, Chuan Zhu, Yong Zhao, Wei Yi
{"title":"机载雷达距离-多普勒域多帧STAP策略","authors":"Xingyue Long, Wen Qin, Wei Zhang, Chuan Zhu, Yong Zhao, Wei Yi","doi":"10.1109/ICCAIS56082.2022.9990184","DOIUrl":null,"url":null,"abstract":"In airborne radar system, clutter suppression and dim target detection are two challenging problems. Space-time adaptive processing (STAP) can provide good clutter suppression potential. Nevertheless, the low energy of dim targets and the energy loss after STAP make traditional detection method invalid. Based on the problem, the multi-frame joint space-time adaptive processing strategy (MF-STAP) is proposed. Through the multi-frame accumulation, dim targets can be clearly distinguished from the clutter. The original MF-STAP restrict attention to the range domain, which we refer to as range domain MF-STAP (R-MF-STAP) in this paper. Whereas, the elimination of Doppler parameter brings raw information loss and miss detection. To remedy this deficiency, we propose a range-Doppler domain MF-STAP strategy (RD-MF-STAP) in this paper, operating multi-frame accumulation at both range and Doppler domain after STAP process. The performance assessment, conducted resorting to Monte Carlo simulation, shows that the proposed RD-MF-STAP strategy can achieve superior detection and tracking performance than R-MF-STAP strategy.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Frame STAP Strategy in Range-Doppler Domain for Airborne Radars\",\"authors\":\"Xingyue Long, Wen Qin, Wei Zhang, Chuan Zhu, Yong Zhao, Wei Yi\",\"doi\":\"10.1109/ICCAIS56082.2022.9990184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In airborne radar system, clutter suppression and dim target detection are two challenging problems. Space-time adaptive processing (STAP) can provide good clutter suppression potential. Nevertheless, the low energy of dim targets and the energy loss after STAP make traditional detection method invalid. Based on the problem, the multi-frame joint space-time adaptive processing strategy (MF-STAP) is proposed. Through the multi-frame accumulation, dim targets can be clearly distinguished from the clutter. The original MF-STAP restrict attention to the range domain, which we refer to as range domain MF-STAP (R-MF-STAP) in this paper. Whereas, the elimination of Doppler parameter brings raw information loss and miss detection. To remedy this deficiency, we propose a range-Doppler domain MF-STAP strategy (RD-MF-STAP) in this paper, operating multi-frame accumulation at both range and Doppler domain after STAP process. The performance assessment, conducted resorting to Monte Carlo simulation, shows that the proposed RD-MF-STAP strategy can achieve superior detection and tracking performance than R-MF-STAP strategy.\",\"PeriodicalId\":273404,\"journal\":{\"name\":\"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS56082.2022.9990184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS56082.2022.9990184","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

在机载雷达系统中,杂波抑制和弱小目标检测是两个具有挑战性的问题。时空自适应处理(STAP)具有良好的杂波抑制潜力。然而,弱小目标的低能量和STAP后的能量损失使得传统的检测方法失效。针对这一问题,提出了多帧联合空时自适应处理策略(MF-STAP)。通过多帧累加,可以从杂波中清晰地分辨出弱小目标。原来的MF-STAP只关注距离域,本文称之为距离域MF-STAP (R-MF-STAP)。然而,多普勒参数的消除带来了原始信息的丢失和误检。为了弥补这一缺陷,本文提出了一种距离-多普勒域MF-STAP策略(RD-MF-STAP),在STAP过程后在距离和多普勒域进行多帧积累。通过蒙特卡罗仿真进行了性能评估,结果表明所提出的RD-MF-STAP策略比R-MF-STAP策略具有更好的检测和跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Frame STAP Strategy in Range-Doppler Domain for Airborne Radars
In airborne radar system, clutter suppression and dim target detection are two challenging problems. Space-time adaptive processing (STAP) can provide good clutter suppression potential. Nevertheless, the low energy of dim targets and the energy loss after STAP make traditional detection method invalid. Based on the problem, the multi-frame joint space-time adaptive processing strategy (MF-STAP) is proposed. Through the multi-frame accumulation, dim targets can be clearly distinguished from the clutter. The original MF-STAP restrict attention to the range domain, which we refer to as range domain MF-STAP (R-MF-STAP) in this paper. Whereas, the elimination of Doppler parameter brings raw information loss and miss detection. To remedy this deficiency, we propose a range-Doppler domain MF-STAP strategy (RD-MF-STAP) in this paper, operating multi-frame accumulation at both range and Doppler domain after STAP process. The performance assessment, conducted resorting to Monte Carlo simulation, shows that the proposed RD-MF-STAP strategy can achieve superior detection and tracking performance than R-MF-STAP strategy.
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