{"title":"传感器阵列处理中的自校准综述","authors":"Li. Qiong, Gan Long, Ye Zhongfu","doi":"10.1109/ISAPE.2003.1276682","DOIUrl":null,"url":null,"abstract":"The performance of high-resolution DOA estimation methods seriously degenerates when there are model errors in array manifold. According to various prior knowledge of array manifold, this paper classifies series of array self-calibration methods based on second order statistics, then discusses them and concludes their advantages and disadvantages, finally gives some prospect for research on self-calibration.","PeriodicalId":179885,"journal":{"name":"6th International SYmposium on Antennas, Propagation and EM Theory, 2003. Proceedings. 2003","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"An overview of self-calibration in sensor array processing\",\"authors\":\"Li. Qiong, Gan Long, Ye Zhongfu\",\"doi\":\"10.1109/ISAPE.2003.1276682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance of high-resolution DOA estimation methods seriously degenerates when there are model errors in array manifold. According to various prior knowledge of array manifold, this paper classifies series of array self-calibration methods based on second order statistics, then discusses them and concludes their advantages and disadvantages, finally gives some prospect for research on self-calibration.\",\"PeriodicalId\":179885,\"journal\":{\"name\":\"6th International SYmposium on Antennas, Propagation and EM Theory, 2003. Proceedings. 2003\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International SYmposium on Antennas, Propagation and EM Theory, 2003. Proceedings. 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAPE.2003.1276682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International SYmposium on Antennas, Propagation and EM Theory, 2003. Proceedings. 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAPE.2003.1276682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An overview of self-calibration in sensor array processing
The performance of high-resolution DOA estimation methods seriously degenerates when there are model errors in array manifold. According to various prior knowledge of array manifold, this paper classifies series of array self-calibration methods based on second order statistics, then discusses them and concludes their advantages and disadvantages, finally gives some prospect for research on self-calibration.