一种用于高分辨率星载SAR的无乘法器并行数字下变频器

Jia Sun, Ruohan Hou, H. Dang
{"title":"一种用于高分辨率星载SAR的无乘法器并行数字下变频器","authors":"Jia Sun, Ruohan Hou, H. Dang","doi":"10.1109/ICSP54964.2022.9778711","DOIUrl":null,"url":null,"abstract":"High resolution spaceborne SAR has unique advantages in target recognition and earthquake rescue due to its refined description of target characteristics. The resolution is developing from the meter level to the decimeter level, which brings a huge increase in signal bandwidth. The traditional analog demodulation or serial digital down-conversion processing methods are no longer suitable for the needs. In addition, the limited scale of the onboard digital processing chip makes it impossible to simply copy the serial processing into a multichannel parallel mode. In this paper, a novel digital down converter is designed according to the band-pass sampling theorem and the fast finite impulse response algorithm (FFA) combined with the characteristics of the spaceborne digital processing chip. Compared with the traditional method, the resource consumption of the proposed method is obviously improved. With the increase of the signal bandwidth, this advantage is more obvious. The proposed method is suitable for high-resolution spaceborne SAR, large bandwidth millimeter wave radar, etc.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multiplierless Parallel Digital Down Converter for High Resolution Spaceborne SAR\",\"authors\":\"Jia Sun, Ruohan Hou, H. Dang\",\"doi\":\"10.1109/ICSP54964.2022.9778711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High resolution spaceborne SAR has unique advantages in target recognition and earthquake rescue due to its refined description of target characteristics. The resolution is developing from the meter level to the decimeter level, which brings a huge increase in signal bandwidth. The traditional analog demodulation or serial digital down-conversion processing methods are no longer suitable for the needs. In addition, the limited scale of the onboard digital processing chip makes it impossible to simply copy the serial processing into a multichannel parallel mode. In this paper, a novel digital down converter is designed according to the band-pass sampling theorem and the fast finite impulse response algorithm (FFA) combined with the characteristics of the spaceborne digital processing chip. Compared with the traditional method, the resource consumption of the proposed method is obviously improved. With the increase of the signal bandwidth, this advantage is more obvious. The proposed method is suitable for high-resolution spaceborne SAR, large bandwidth millimeter wave radar, etc.\",\"PeriodicalId\":363766,\"journal\":{\"name\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSP54964.2022.9778711\",\"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 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSP54964.2022.9778711","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

高分辨率星载SAR对目标特征的精细描述,在目标识别和地震救援中具有独特的优势。分辨率正从米级发展到分米级,这带来了信号带宽的巨大增加。传统的模拟解调或串行数字下变频处理方法已不能满足需要。此外,板载数字处理芯片的有限规模使得不可能简单地将串行处理复制到多通道并行模式。本文根据带通采样定理和快速有限脉冲响应算法(FFA),结合星载数字处理芯片的特点,设计了一种新型的数字下变频器。与传统方法相比,该方法的资源消耗明显提高。随着信号带宽的增加,这种优势更加明显。该方法适用于高分辨率星载SAR、大带宽毫米波雷达等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multiplierless Parallel Digital Down Converter for High Resolution Spaceborne SAR
High resolution spaceborne SAR has unique advantages in target recognition and earthquake rescue due to its refined description of target characteristics. The resolution is developing from the meter level to the decimeter level, which brings a huge increase in signal bandwidth. The traditional analog demodulation or serial digital down-conversion processing methods are no longer suitable for the needs. In addition, the limited scale of the onboard digital processing chip makes it impossible to simply copy the serial processing into a multichannel parallel mode. In this paper, a novel digital down converter is designed according to the band-pass sampling theorem and the fast finite impulse response algorithm (FFA) combined with the characteristics of the spaceborne digital processing chip. Compared with the traditional method, the resource consumption of the proposed method is obviously improved. With the increase of the signal bandwidth, this advantage is more obvious. The proposed method is suitable for high-resolution spaceborne SAR, large bandwidth millimeter wave radar, etc.
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