{"title":"基于进化规划的分量抵消信号参数提取","authors":"I. Choi, Ill-Keun Rhee, Young-Hoon Lee","doi":"10.1109/FGCN.2007.200","DOIUrl":null,"url":null,"abstract":"In this paper, a novel direction of arrival (DOA) estimation scheme is proposed. The proposed algorithm, called the signal parameter extraction via component cancellation (SPECC), is an evolutionary optimization-based method and extracts the amplitudes of signal sources and DOA impinging on a sensor array in a step-by-step procedure, different from other algorithms such as MUSIC, root-MUSIC, ESPRIT, etc., which extract those parameters at the same time. Our algorithm has robustness to noise and high resolution in DOA estimation. In the simulation, comparisons with root-MUSIC, which has been known as one of the best algorithms, are presented to illustrate the superiority of the proposed SPECC algorithm.","PeriodicalId":254368,"journal":{"name":"Future Generation Communication and Networking (FGCN 2007)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Signal Parameter Extraction via Component Cancellation Using Evolutionary Programming\",\"authors\":\"I. Choi, Ill-Keun Rhee, Young-Hoon Lee\",\"doi\":\"10.1109/FGCN.2007.200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel direction of arrival (DOA) estimation scheme is proposed. The proposed algorithm, called the signal parameter extraction via component cancellation (SPECC), is an evolutionary optimization-based method and extracts the amplitudes of signal sources and DOA impinging on a sensor array in a step-by-step procedure, different from other algorithms such as MUSIC, root-MUSIC, ESPRIT, etc., which extract those parameters at the same time. Our algorithm has robustness to noise and high resolution in DOA estimation. In the simulation, comparisons with root-MUSIC, which has been known as one of the best algorithms, are presented to illustrate the superiority of the proposed SPECC algorithm.\",\"PeriodicalId\":254368,\"journal\":{\"name\":\"Future Generation Communication and Networking (FGCN 2007)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Generation Communication and Networking (FGCN 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FGCN.2007.200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Communication and Networking (FGCN 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGCN.2007.200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal Parameter Extraction via Component Cancellation Using Evolutionary Programming
In this paper, a novel direction of arrival (DOA) estimation scheme is proposed. The proposed algorithm, called the signal parameter extraction via component cancellation (SPECC), is an evolutionary optimization-based method and extracts the amplitudes of signal sources and DOA impinging on a sensor array in a step-by-step procedure, different from other algorithms such as MUSIC, root-MUSIC, ESPRIT, etc., which extract those parameters at the same time. Our algorithm has robustness to noise and high resolution in DOA estimation. In the simulation, comparisons with root-MUSIC, which has been known as one of the best algorithms, are presented to illustrate the superiority of the proposed SPECC algorithm.