{"title":"Design of Codebooks for Space-Time Block Code with Noncoherent GLRT-Based Reception","authors":"A. Sergienko","doi":"10.1109/dspa53304.2022.9790756","DOIUrl":null,"url":null,"abstract":"Noncoherent reception of space-time block code (STBC) is considered. As a reception method, generalized likeli-hood ratio test is used. Two classes of codebooks are presented. The first class of codebooks is based on Alamouti STBC with added pilot symbols that make these codebooks suitable for noncoherent reception. The second class of codebooks is obtained using the autoencoder neural network. Error rate performance of the obtained codebooks is analyzed. The best results are obtained when autoencoder network is initialized with weights describing an Alamouti-based codebook. Power gain of optimized codebook over the Alamouti-based initialization codebook varies from a fraction of decibel to almost 5 dB.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Noncoherent reception of space-time block code (STBC) is considered. As a reception method, generalized likeli-hood ratio test is used. Two classes of codebooks are presented. The first class of codebooks is based on Alamouti STBC with added pilot symbols that make these codebooks suitable for noncoherent reception. The second class of codebooks is obtained using the autoencoder neural network. Error rate performance of the obtained codebooks is analyzed. The best results are obtained when autoencoder network is initialized with weights describing an Alamouti-based codebook. Power gain of optimized codebook over the Alamouti-based initialization codebook varies from a fraction of decibel to almost 5 dB.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
