{"title":"宽带RCS的特征基函数解法","authors":"Mingyuan Zhang, Qin Zheng, Yufa Sun, Zhonggen Wang, Guohua Wang, Chenlu Li","doi":"10.1109/IEEE-IWS.2015.7164578","DOIUrl":null,"url":null,"abstract":"A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the improved ultra-wide characteristic basis functions (IUCBFs) are derived from characteristic basis functions (CBFs) at the highest frequency point and the lowest frequency point by applying a singular value decomposition (SVD) procedure. The IUCBFs can be reused for each frequency, so the electromagnetic scattering problem on the desired frequency band can be solved fast. Finally the adaptive cross approximation (ACA) algorithm is applied to accelerate the impedance matrix entry computation as well as matrix vector multiplication in the construction process of reduced matrix. The accuracy and efficiency are improved significantly compared with the traditional ultra-wide characteristic basis function method (UCBFM). Numerical results demonstrate that the proposed method is accurate and efficient.","PeriodicalId":164534,"journal":{"name":"2015 IEEE International Wireless Symposium (IWS 2015)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Solutions of broadband RCS using the characteristic basis function method\",\"authors\":\"Mingyuan Zhang, Qin Zheng, Yufa Sun, Zhonggen Wang, Guohua Wang, Chenlu Li\",\"doi\":\"10.1109/IEEE-IWS.2015.7164578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the improved ultra-wide characteristic basis functions (IUCBFs) are derived from characteristic basis functions (CBFs) at the highest frequency point and the lowest frequency point by applying a singular value decomposition (SVD) procedure. The IUCBFs can be reused for each frequency, so the electromagnetic scattering problem on the desired frequency band can be solved fast. Finally the adaptive cross approximation (ACA) algorithm is applied to accelerate the impedance matrix entry computation as well as matrix vector multiplication in the construction process of reduced matrix. The accuracy and efficiency are improved significantly compared with the traditional ultra-wide characteristic basis function method (UCBFM). Numerical results demonstrate that the proposed method is accurate and efficient.\",\"PeriodicalId\":164534,\"journal\":{\"name\":\"2015 IEEE International Wireless Symposium (IWS 2015)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Wireless Symposium (IWS 2015)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEE-IWS.2015.7164578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Wireless Symposium (IWS 2015)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEE-IWS.2015.7164578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solutions of broadband RCS using the characteristic basis function method
A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the improved ultra-wide characteristic basis functions (IUCBFs) are derived from characteristic basis functions (CBFs) at the highest frequency point and the lowest frequency point by applying a singular value decomposition (SVD) procedure. The IUCBFs can be reused for each frequency, so the electromagnetic scattering problem on the desired frequency band can be solved fast. Finally the adaptive cross approximation (ACA) algorithm is applied to accelerate the impedance matrix entry computation as well as matrix vector multiplication in the construction process of reduced matrix. The accuracy and efficiency are improved significantly compared with the traditional ultra-wide characteristic basis function method (UCBFM). Numerical results demonstrate that the proposed method is accurate and efficient.