{"title":"单载波空间调制系统的增强频域信号检测","authors":"Yinman Lee, Sok-Ian Sou","doi":"10.1109/CCOMS.2018.8463352","DOIUrl":null,"url":null,"abstract":"It is shown that spatial modulation (SM) can be effectively combined with single-carrier (SC) transmission to obtain the advantages in both aspects for broadband wireless communications. However, the signal detection methods for the cyclic-prefix (CP) based SC-SM system are generally not sophisticated enough to provide good performance in many scenarios. In this paper, to lower the frequency-domain equalization complexity, we first consider employing a special recursive method to invert the Gram matrix in the minimum mean-squared-error (MMSE) weight calculation. Second, energy detection is used to locate the active transmit antennas for each SM symbol. Simple single-symbol maximum likelihood (ML) detection can then be used to extract the transmitted modulated symbols in those active transmit antennas with negligible loss in the error-rate performance. On the other hand, $M$ -algorithm is applied for enhancing the error rate to various extents. Results show that a better compromise between the computational complexity and the error rate can","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced Frequency-Domain Signal Detection for Single-Carrier Spatial Modulation Systems\",\"authors\":\"Yinman Lee, Sok-Ian Sou\",\"doi\":\"10.1109/CCOMS.2018.8463352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown that spatial modulation (SM) can be effectively combined with single-carrier (SC) transmission to obtain the advantages in both aspects for broadband wireless communications. However, the signal detection methods for the cyclic-prefix (CP) based SC-SM system are generally not sophisticated enough to provide good performance in many scenarios. In this paper, to lower the frequency-domain equalization complexity, we first consider employing a special recursive method to invert the Gram matrix in the minimum mean-squared-error (MMSE) weight calculation. Second, energy detection is used to locate the active transmit antennas for each SM symbol. Simple single-symbol maximum likelihood (ML) detection can then be used to extract the transmitted modulated symbols in those active transmit antennas with negligible loss in the error-rate performance. On the other hand, $M$ -algorithm is applied for enhancing the error rate to various extents. Results show that a better compromise between the computational complexity and the error rate can\",\"PeriodicalId\":405664,\"journal\":{\"name\":\"2018 3rd International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCOMS.2018.8463352\",\"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 3rd International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCOMS.2018.8463352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced Frequency-Domain Signal Detection for Single-Carrier Spatial Modulation Systems
It is shown that spatial modulation (SM) can be effectively combined with single-carrier (SC) transmission to obtain the advantages in both aspects for broadband wireless communications. However, the signal detection methods for the cyclic-prefix (CP) based SC-SM system are generally not sophisticated enough to provide good performance in many scenarios. In this paper, to lower the frequency-domain equalization complexity, we first consider employing a special recursive method to invert the Gram matrix in the minimum mean-squared-error (MMSE) weight calculation. Second, energy detection is used to locate the active transmit antennas for each SM symbol. Simple single-symbol maximum likelihood (ML) detection can then be used to extract the transmitted modulated symbols in those active transmit antennas with negligible loss in the error-rate performance. On the other hand, $M$ -algorithm is applied for enhancing the error rate to various extents. Results show that a better compromise between the computational complexity and the error rate can