{"title":"非正交多址系统中用于连续干扰消除的新型盲检测算法","authors":"Jia Liu, Hao Zhang, Bo Wang","doi":"10.1049/tje2.12339","DOIUrl":null,"url":null,"abstract":"This paper considers a Non‐Orthogonal Multiple Access (NOMA) network, in which base station transmits a data packet by multi‐user superposition to a destination. In this system, Successive Interference Cancellation (SIC) receiver is used to eliminate the co‐channel interference. Some physical layer parameters, such as modulation order and precoding matrix indicator (PMI), are required for the SIC receiver to separate the overlapped signals. However, an abundance of parameters would bring a large number of signalling overhead. To reduce the signalling overhead, some of these parameters can be blindly detected instead of signalling notification. To detect these kinds of parameters, a novel blind detection algorithm is proposed in this paper. Firstly, feature extraction based on wavelet cluster is introduced to obtain feature information from received data. Then a filter is designed to reduce the interference among these features. Theoretical analysis and simulation results show that the proposed algorithm achieves high detection performance under the computation complexity of approximate the max‐log likelihood algorithm.","PeriodicalId":22858,"journal":{"name":"The Journal of Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel blind detection algorithm for successive interference cancellation in non‐orthogonal multiple access system\",\"authors\":\"Jia Liu, Hao Zhang, Bo Wang\",\"doi\":\"10.1049/tje2.12339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers a Non‐Orthogonal Multiple Access (NOMA) network, in which base station transmits a data packet by multi‐user superposition to a destination. In this system, Successive Interference Cancellation (SIC) receiver is used to eliminate the co‐channel interference. Some physical layer parameters, such as modulation order and precoding matrix indicator (PMI), are required for the SIC receiver to separate the overlapped signals. However, an abundance of parameters would bring a large number of signalling overhead. To reduce the signalling overhead, some of these parameters can be blindly detected instead of signalling notification. To detect these kinds of parameters, a novel blind detection algorithm is proposed in this paper. Firstly, feature extraction based on wavelet cluster is introduced to obtain feature information from received data. Then a filter is designed to reduce the interference among these features. Theoretical analysis and simulation results show that the proposed algorithm achieves high detection performance under the computation complexity of approximate the max‐log likelihood algorithm.\",\"PeriodicalId\":22858,\"journal\":{\"name\":\"The Journal of Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/tje2.12339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/tje2.12339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel blind detection algorithm for successive interference cancellation in non‐orthogonal multiple access system
This paper considers a Non‐Orthogonal Multiple Access (NOMA) network, in which base station transmits a data packet by multi‐user superposition to a destination. In this system, Successive Interference Cancellation (SIC) receiver is used to eliminate the co‐channel interference. Some physical layer parameters, such as modulation order and precoding matrix indicator (PMI), are required for the SIC receiver to separate the overlapped signals. However, an abundance of parameters would bring a large number of signalling overhead. To reduce the signalling overhead, some of these parameters can be blindly detected instead of signalling notification. To detect these kinds of parameters, a novel blind detection algorithm is proposed in this paper. Firstly, feature extraction based on wavelet cluster is introduced to obtain feature information from received data. Then a filter is designed to reduce the interference among these features. Theoretical analysis and simulation results show that the proposed algorithm achieves high detection performance under the computation complexity of approximate the max‐log likelihood algorithm.