{"title":"Model-based adaptive detection and DOA estimation using separated sub-arrays","authors":"C. Engdahl, P. Sunnergren","doi":"10.1109/NRC.2002.999702","DOIUrl":null,"url":null,"abstract":"The potential performance of adaptive detection and direction-of-arrival (DOA) estimation using a certain class of sparse linear arrays, characterized by two widely separated sub-arrays, in combination with model-based techniques, is investigated. With this array structure, a large baseline is obtained with a limited amount of hardware. It is found that the very narrow main-lobe obtained by separating the sub-arrays can be utilized to obtain accurate DOA estimates, high angular resolution, and good detection performance even in close vicinity of a localized interference source. However, the presence of grating lobes deteriorates the performance at low SNR and also when the angular separation between two targets, or between a target and an interfering source, corresponds to an integer times the distance between the grating lobes.","PeriodicalId":448055,"journal":{"name":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","volume":"4 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","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.2002.999702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The potential performance of adaptive detection and direction-of-arrival (DOA) estimation using a certain class of sparse linear arrays, characterized by two widely separated sub-arrays, in combination with model-based techniques, is investigated. With this array structure, a large baseline is obtained with a limited amount of hardware. It is found that the very narrow main-lobe obtained by separating the sub-arrays can be utilized to obtain accurate DOA estimates, high angular resolution, and good detection performance even in close vicinity of a localized interference source. However, the presence of grating lobes deteriorates the performance at low SNR and also when the angular separation between two targets, or between a target and an interfering source, corresponds to an integer times the distance between the grating lobes.