{"title":"基于互信息的多基地雷达成像波形设计","authors":"Zachary Chance, R. Raj, D. Love","doi":"10.1109/WDD.2012.7311291","DOIUrl":null,"url":null,"abstract":"The topic of waveform design is investigated for a multistatic radar scenario where it is assumed that one radar sensor is transmitting while the remaining sensors receive. This is accomplished by using an information-theoretic measure (i.e., mutual information between the image and the radar return) as an objective function for waveform optimization. Simulations are given to illustrate performance gains in image quality metrics.","PeriodicalId":102625,"journal":{"name":"2012 International Waveform Diversity & Design Conference (WDD)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Waveform design for multistatic radar imaging using mutual information\",\"authors\":\"Zachary Chance, R. Raj, D. Love\",\"doi\":\"10.1109/WDD.2012.7311291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The topic of waveform design is investigated for a multistatic radar scenario where it is assumed that one radar sensor is transmitting while the remaining sensors receive. This is accomplished by using an information-theoretic measure (i.e., mutual information between the image and the radar return) as an objective function for waveform optimization. Simulations are given to illustrate performance gains in image quality metrics.\",\"PeriodicalId\":102625,\"journal\":{\"name\":\"2012 International Waveform Diversity & Design Conference (WDD)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Waveform Diversity & Design Conference (WDD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDD.2012.7311291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Waveform Diversity & Design Conference (WDD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDD.2012.7311291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Waveform design for multistatic radar imaging using mutual information
The topic of waveform design is investigated for a multistatic radar scenario where it is assumed that one radar sensor is transmitting while the remaining sensors receive. This is accomplished by using an information-theoretic measure (i.e., mutual information between the image and the radar return) as an objective function for waveform optimization. Simulations are given to illustrate performance gains in image quality metrics.