{"title":"IQML和MODE到达方向估计器的约束实现","authors":"C. A. Alves, R. F. Colares, A. Lopes","doi":"10.1109/MWSCAS.2000.951479","DOIUrl":null,"url":null,"abstract":"The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known \"high resolution\" direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compares their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than other constraints. The resulting computational complexity is also investigated.","PeriodicalId":437349,"journal":{"name":"Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Constraints implementation for IQML and MODE direction-of-arrival estimators\",\"authors\":\"C. A. Alves, R. F. Colares, A. Lopes\",\"doi\":\"10.1109/MWSCAS.2000.951479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known \\\"high resolution\\\" direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compares their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than other constraints. The resulting computational complexity is also investigated.\",\"PeriodicalId\":437349,\"journal\":{\"name\":\"Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.2000.951479\",\"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 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2000.951479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constraints implementation for IQML and MODE direction-of-arrival estimators
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known "high resolution" direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compares their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than other constraints. The resulting computational complexity is also investigated.