{"title":"基于贝叶斯压缩感知的稀疏近场聚焦天线阵列合成","authors":"Z. Huang, Y. Cheng","doi":"10.1109/COMPEM.2018.8496569","DOIUrl":null,"url":null,"abstract":"A mathematical model for near-field sparse array antennas synthesis is established in this work for the first time. An algorithm based on the multi-task compressive sensing method is employed to obtain the element position and excitation coefficient fitting a desired near-field radiation pattern. Numerical results validate the effectiveness of the proposed method to synthesize different types of desired patterns with more than 30% of elements saved compared with uniformly spaced array.","PeriodicalId":221352,"journal":{"name":"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Synthesis of Sparse Near-Field Focusing Antenna Arrays Based on Bayesian Compressive Sensing\",\"authors\":\"Z. Huang, Y. Cheng\",\"doi\":\"10.1109/COMPEM.2018.8496569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mathematical model for near-field sparse array antennas synthesis is established in this work for the first time. An algorithm based on the multi-task compressive sensing method is employed to obtain the element position and excitation coefficient fitting a desired near-field radiation pattern. Numerical results validate the effectiveness of the proposed method to synthesize different types of desired patterns with more than 30% of elements saved compared with uniformly spaced array.\",\"PeriodicalId\":221352,\"journal\":{\"name\":\"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEM.2018.8496569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2018.8496569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis of Sparse Near-Field Focusing Antenna Arrays Based on Bayesian Compressive Sensing
A mathematical model for near-field sparse array antennas synthesis is established in this work for the first time. An algorithm based on the multi-task compressive sensing method is employed to obtain the element position and excitation coefficient fitting a desired near-field radiation pattern. Numerical results validate the effectiveness of the proposed method to synthesize different types of desired patterns with more than 30% of elements saved compared with uniformly spaced array.