{"title":"雷达目标特征的自回归移动平均建模","authors":"R. Carriere, R. Moses","doi":"10.1109/NRC.1988.10962","DOIUrl":null,"url":null,"abstract":"A method for characterizing radar target signatures with autoregressive moving average (ARMA) models is developed. A parameterization of the model that corresponds directly to the geometric properties of the target is chosen, and an efficient algorithm for estimating these parameters is presented. Procedures for minimizing the effects of unmodeled dynamics are also developed. Experiments on radar measurements obtained from a compact-range are presented to test the effectiveness of the ARMA modeling procedure on scale models of several commercial aircraft.<<ETX>>","PeriodicalId":237192,"journal":{"name":"Proceedings of the 1988 IEEE National Radar Conference","volume":"18 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Autoregressive moving average modeling of radar target signatures\",\"authors\":\"R. Carriere, R. Moses\",\"doi\":\"10.1109/NRC.1988.10962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for characterizing radar target signatures with autoregressive moving average (ARMA) models is developed. A parameterization of the model that corresponds directly to the geometric properties of the target is chosen, and an efficient algorithm for estimating these parameters is presented. Procedures for minimizing the effects of unmodeled dynamics are also developed. Experiments on radar measurements obtained from a compact-range are presented to test the effectiveness of the ARMA modeling procedure on scale models of several commercial aircraft.<<ETX>>\",\"PeriodicalId\":237192,\"journal\":{\"name\":\"Proceedings of the 1988 IEEE National Radar Conference\",\"volume\":\"18 8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1988 IEEE National Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.1988.10962\",\"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 1988 IEEE National Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1988.10962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autoregressive moving average modeling of radar target signatures
A method for characterizing radar target signatures with autoregressive moving average (ARMA) models is developed. A parameterization of the model that corresponds directly to the geometric properties of the target is chosen, and an efficient algorithm for estimating these parameters is presented. Procedures for minimizing the effects of unmodeled dynamics are also developed. Experiments on radar measurements obtained from a compact-range are presented to test the effectiveness of the ARMA modeling procedure on scale models of several commercial aircraft.<>
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