ISAR最小熵相位调整

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509) Pub Date : 2004-04-26 DOI:10.1109/NRC.2004.1316421

Junfeng Wang, D. Kasilingam, Xingzhao Liu, Zhixin Zhou

{"title":"ISAR最小熵相位调整","authors":"Junfeng Wang, D. Kasilingam, Xingzhao Liu, Zhixin Zhou","doi":"10.1109/NRC.2004.1316421","DOIUrl":null,"url":null,"abstract":"A new technique is developed for phase adjustment in ISAR imaging. The adjustment phase is found by iteratively solving an equation, which is derived by minimizing the entropy of the image. This technique can be used to estimate adjustment phases of any form. Moreover, the optimization method used in this technique is computationally more efficient than trial-and-error methods.","PeriodicalId":268965,"journal":{"name":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"ISAR minimum-entropy phase adjustment\",\"authors\":\"Junfeng Wang, D. Kasilingam, Xingzhao Liu, Zhixin Zhou\",\"doi\":\"10.1109/NRC.2004.1316421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new technique is developed for phase adjustment in ISAR imaging. The adjustment phase is found by iteratively solving an equation, which is derived by minimizing the entropy of the image. This technique can be used to estimate adjustment phases of any form. Moreover, the optimization method used in this technique is computationally more efficient than trial-and-error methods.\",\"PeriodicalId\":268965,\"journal\":{\"name\":\"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.2004.1316421\",\"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 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2004.1316421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 18

摘要

提出了一种新的ISAR成像相位调整技术。调整相位是通过迭代求解一个方程来确定的，该方程是通过最小化图像的熵而得到的。这种技术可以用来估计任何形式的调整阶段。此外，该技术中使用的优化方法在计算上比试错法更有效。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

ISAR minimum-entropy phase adjustment

A new technique is developed for phase adjustment in ISAR imaging. The adjustment phase is found by iteratively solving an equation, which is derived by minimizing the entropy of the image. This technique can be used to estimate adjustment phases of any form. Moreover, the optimization method used in this technique is computationally more efficient than trial-and-error methods.

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

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)

自引率

0.00%

发文量

期刊最新文献

Advanced geostationary radar for hurricane monitoring and studies Effect of system geometry of multi-sensor on accuracy of target position estimation Crossbeam wind measurements with phased array Doppler weather radar: theory Physics-based airborne GMTI radar signal processing Optimal invariant test in coherent radar detection with unknown parameters