{"title":"空间调制系统中性能最优的天线选择算法","authors":"Gökhan Altın","doi":"10.23919/ELECO47770.2019.8990414","DOIUrl":null,"url":null,"abstract":"In this paper, a new transmit antenna selection (TAS) algorithm which gives optimum error performance while reducing the computational complexity is proposed for spatial modulation (SM) systems. The idea of the proposed algorithm is based on the eigen decomposition of the matrix composed from the transmit signal difference vector. Although eigen decomposition has itself weighty computational complexity, finding only the base vectors which also reduces the complexity will suffice for the algorithm since the eigenvectors can be defined up to a phase.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"47 1","pages":"722-725"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An Optimum Performance Antenna Selection Algorithm for Spatial Modulation Systems\",\"authors\":\"Gökhan Altın\",\"doi\":\"10.23919/ELECO47770.2019.8990414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new transmit antenna selection (TAS) algorithm which gives optimum error performance while reducing the computational complexity is proposed for spatial modulation (SM) systems. The idea of the proposed algorithm is based on the eigen decomposition of the matrix composed from the transmit signal difference vector. Although eigen decomposition has itself weighty computational complexity, finding only the base vectors which also reduces the complexity will suffice for the algorithm since the eigenvectors can be defined up to a phase.\",\"PeriodicalId\":6611,\"journal\":{\"name\":\"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)\",\"volume\":\"47 1\",\"pages\":\"722-725\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ELECO47770.2019.8990414\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ELECO47770.2019.8990414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimum Performance Antenna Selection Algorithm for Spatial Modulation Systems
In this paper, a new transmit antenna selection (TAS) algorithm which gives optimum error performance while reducing the computational complexity is proposed for spatial modulation (SM) systems. The idea of the proposed algorithm is based on the eigen decomposition of the matrix composed from the transmit signal difference vector. Although eigen decomposition has itself weighty computational complexity, finding only the base vectors which also reduces the complexity will suffice for the algorithm since the eigenvectors can be defined up to a phase.