{"title":"非相干GLRT接收机和低信噪比MIMO块衰落信道的码本设计","authors":"M. Beko, J. Xavier, V. Barroso","doi":"10.1109/SPAWC.2006.346468","DOIUrl":null,"url":null,"abstract":"We address the problem of codebook design for the low signal-to-noise ratio (SNR) fast non-coherent MIMO block fading channel. The channel matrix is assumed deterministic (no stochastic model attached) and unknown at both the receiver and the transmitter. To handle the unknown deterministic space-time channel, a generalized likelihood ratio test (GLRT) receiver is implemented. The case of single transmit antenna is considered and it is shown that the problem of finding good codes corresponds geometrically to a packing problem in the complex projective space. We provide new constellations and demonstrate that they perform substantially better than state-of-art known solutions which assume equal prior probabilities for the transmitted codewords. Our results are also of interest for Bayesian receivers which decode constellations with non-uniform priors","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Codebook Design for the Non-Coherent GLRT Receiver and Low SNR MIMO Block Fading Channel\",\"authors\":\"M. Beko, J. Xavier, V. Barroso\",\"doi\":\"10.1109/SPAWC.2006.346468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem of codebook design for the low signal-to-noise ratio (SNR) fast non-coherent MIMO block fading channel. The channel matrix is assumed deterministic (no stochastic model attached) and unknown at both the receiver and the transmitter. To handle the unknown deterministic space-time channel, a generalized likelihood ratio test (GLRT) receiver is implemented. The case of single transmit antenna is considered and it is shown that the problem of finding good codes corresponds geometrically to a packing problem in the complex projective space. We provide new constellations and demonstrate that they perform substantially better than state-of-art known solutions which assume equal prior probabilities for the transmitted codewords. Our results are also of interest for Bayesian receivers which decode constellations with non-uniform priors\",\"PeriodicalId\":414942,\"journal\":{\"name\":\"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2006.346468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2006.346468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Codebook Design for the Non-Coherent GLRT Receiver and Low SNR MIMO Block Fading Channel
We address the problem of codebook design for the low signal-to-noise ratio (SNR) fast non-coherent MIMO block fading channel. The channel matrix is assumed deterministic (no stochastic model attached) and unknown at both the receiver and the transmitter. To handle the unknown deterministic space-time channel, a generalized likelihood ratio test (GLRT) receiver is implemented. The case of single transmit antenna is considered and it is shown that the problem of finding good codes corresponds geometrically to a packing problem in the complex projective space. We provide new constellations and demonstrate that they perform substantially better than state-of-art known solutions which assume equal prior probabilities for the transmitted codewords. Our results are also of interest for Bayesian receivers which decode constellations with non-uniform priors