{"title":"广义预编码辅助空间调制的低复杂度检测算法","authors":"Yu Guo, Wenxiu Wu, Zhechen Zhu, Jia Hou","doi":"10.1109/ICCChinaW.2018.8674474","DOIUrl":null,"url":null,"abstract":"In this paper, two joint lattice reduction (LR) and multiple-antennas detection algorithms based on generalized precoding aided spatial modulation (GPSM) are proposed. One is LR-zero forcing (ZF) algorithm and the other is LR-minimum mean square error (MMSE) algorithm. The simulation results show that the BER performance of the proposed algorithms are close to that of the maximum likelihood (ML) algorithm, but with much lower complexity and latency.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low Complexity Detection Algorithm for Generalized Precoding Aided Spatial Modulation\",\"authors\":\"Yu Guo, Wenxiu Wu, Zhechen Zhu, Jia Hou\",\"doi\":\"10.1109/ICCChinaW.2018.8674474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, two joint lattice reduction (LR) and multiple-antennas detection algorithms based on generalized precoding aided spatial modulation (GPSM) are proposed. One is LR-zero forcing (ZF) algorithm and the other is LR-minimum mean square error (MMSE) algorithm. The simulation results show that the BER performance of the proposed algorithms are close to that of the maximum likelihood (ML) algorithm, but with much lower complexity and latency.\",\"PeriodicalId\":201746,\"journal\":{\"name\":\"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCChinaW.2018.8674474\",\"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/CIC International Conference on Communications in China (ICCC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCChinaW.2018.8674474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low Complexity Detection Algorithm for Generalized Precoding Aided Spatial Modulation
In this paper, two joint lattice reduction (LR) and multiple-antennas detection algorithms based on generalized precoding aided spatial modulation (GPSM) are proposed. One is LR-zero forcing (ZF) algorithm and the other is LR-minimum mean square error (MMSE) algorithm. The simulation results show that the BER performance of the proposed algorithms are close to that of the maximum likelihood (ML) algorithm, but with much lower complexity and latency.