{"title":"MIMO手机应用中多天线的像素化设计","authors":"Yen‐Sheng Chen, Ting-Yu Ku","doi":"10.1109/APEMC.2015.7175232","DOIUrl":null,"url":null,"abstract":"It is well-known that channel throughput can be greatly enhanced by using a multiple-input-multiple-output (MIMO) antenna system. To implement such a multiple-antenna structure in handset environments, conventional design approaches rely on fine tuning the geometric parameters of antenna layouts. In this paper, a completely different framework is implemented to develop the multiple antennas. Rather than tuning the geometric parameters, we discretize the design space into several pixels. Afterward, powerful multi-objective optimization algorithms may automatically find the best antenna topologies by varying the distribution of these pixels. Our preliminary results show that the impedance requirement of each antenna can be met, and the mutual coupling between the multiple antennas can be kept at a very low level Most importantly, all the performances are automatically determined by the pixelated design technique. Therefore, the design cycle can be greatly reduced.","PeriodicalId":325138,"journal":{"name":"2015 Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)","volume":"491 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Pixelated design for multiple antennas in MIMO handset applications\",\"authors\":\"Yen‐Sheng Chen, Ting-Yu Ku\",\"doi\":\"10.1109/APEMC.2015.7175232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is well-known that channel throughput can be greatly enhanced by using a multiple-input-multiple-output (MIMO) antenna system. To implement such a multiple-antenna structure in handset environments, conventional design approaches rely on fine tuning the geometric parameters of antenna layouts. In this paper, a completely different framework is implemented to develop the multiple antennas. Rather than tuning the geometric parameters, we discretize the design space into several pixels. Afterward, powerful multi-objective optimization algorithms may automatically find the best antenna topologies by varying the distribution of these pixels. Our preliminary results show that the impedance requirement of each antenna can be met, and the mutual coupling between the multiple antennas can be kept at a very low level Most importantly, all the performances are automatically determined by the pixelated design technique. Therefore, the design cycle can be greatly reduced.\",\"PeriodicalId\":325138,\"journal\":{\"name\":\"2015 Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)\",\"volume\":\"491 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APEMC.2015.7175232\",\"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 Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEMC.2015.7175232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pixelated design for multiple antennas in MIMO handset applications
It is well-known that channel throughput can be greatly enhanced by using a multiple-input-multiple-output (MIMO) antenna system. To implement such a multiple-antenna structure in handset environments, conventional design approaches rely on fine tuning the geometric parameters of antenna layouts. In this paper, a completely different framework is implemented to develop the multiple antennas. Rather than tuning the geometric parameters, we discretize the design space into several pixels. Afterward, powerful multi-objective optimization algorithms may automatically find the best antenna topologies by varying the distribution of these pixels. Our preliminary results show that the impedance requirement of each antenna can be met, and the mutual coupling between the multiple antennas can be kept at a very low level Most importantly, all the performances are automatically determined by the pixelated design technique. Therefore, the design cycle can be greatly reduced.