对SAR原始数据进行BAVQ编码的DSP硬件实现

Leyu Zhu, Wen Hong, Jun Wang, Yunneng Yuan
{"title":"对SAR原始数据进行BAVQ编码的DSP硬件实现","authors":"Leyu Zhu, Wen Hong, Jun Wang, Yunneng Yuan","doi":"10.1109/NRC.2002.999691","DOIUrl":null,"url":null,"abstract":"This paper describes the available compression algorithms for SAR (synthetic aperture radar) raw data. The compression performances of three typical algorithms have been compared and the BAVQ algorithm is selected in view of the trade-off between the performance and the complexity. The hardware implementation scheme of the BAVQ encoder has been designed and the DSP hardware simulation result proves the feasibility of the DSP implementation.","PeriodicalId":448055,"journal":{"name":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DSP hardware implementation of BAVQ encoding for SAR raw data\",\"authors\":\"Leyu Zhu, Wen Hong, Jun Wang, Yunneng Yuan\",\"doi\":\"10.1109/NRC.2002.999691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the available compression algorithms for SAR (synthetic aperture radar) raw data. The compression performances of three typical algorithms have been compared and the BAVQ algorithm is selected in view of the trade-off between the performance and the complexity. The hardware implementation scheme of the BAVQ encoder has been designed and the DSP hardware simulation result proves the feasibility of the DSP implementation.\",\"PeriodicalId\":448055,\"journal\":{\"name\":\"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.2002.999691\",\"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 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2002.999691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文介绍了现有的合成孔径雷达原始数据压缩算法。比较了三种典型算法的压缩性能,考虑到性能与复杂度之间的权衡,选择了BAVQ算法。设计了BAVQ编码器的硬件实现方案,并通过DSP硬件仿真验证了DSP实现的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DSP hardware implementation of BAVQ encoding for SAR raw data
This paper describes the available compression algorithms for SAR (synthetic aperture radar) raw data. The compression performances of three typical algorithms have been compared and the BAVQ algorithm is selected in view of the trade-off between the performance and the complexity. The hardware implementation scheme of the BAVQ encoder has been designed and the DSP hardware simulation result proves the feasibility of the DSP implementation.
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
期刊最新文献
Acceleration compensation by matched filtering Model-based adaptive detection and DOA estimation using separated sub-arrays Theoretical analysis of small sample size behaviour of eigenvector projection technique applied to STAP Sparse mutual coupling matrix and sensor gain/phase estimation for array auto-calibration A new constrained joint-domain localized approach for airborne radars
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1