{"title":"基于子空间的OFDM系统盲与半盲信道估计","authors":"B. Su","doi":"10.1109/SPAWC.2014.6941325","DOIUrl":null,"url":null,"abstract":"In this paper, we study subspace-based (SS) methods for blind and semiblind channel estimation in OFDM systems with virtual carriers (VC) using few received received symbols. The methods work in both zero-padded (ZP) and cyclic-prefixed (CP) guard interval types, based on viewing the employment of VCs as precoding of the data matrix using a rank-deficient precoder whose columns represent polynomials that have a common divisor with a degree equal to the number of VCs. The proposed method is the first subspace method to work in CP-OFDM systems with VCs using a less-than-block-size number of received symbols. Simulation results demonstrated the effectiveness of the proposed methods.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Subspace-based blind and semiblind channel estimation in OFDM systems with virtual carriers using few received symbols\",\"authors\":\"B. Su\",\"doi\":\"10.1109/SPAWC.2014.6941325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we study subspace-based (SS) methods for blind and semiblind channel estimation in OFDM systems with virtual carriers (VC) using few received received symbols. The methods work in both zero-padded (ZP) and cyclic-prefixed (CP) guard interval types, based on viewing the employment of VCs as precoding of the data matrix using a rank-deficient precoder whose columns represent polynomials that have a common divisor with a degree equal to the number of VCs. The proposed method is the first subspace method to work in CP-OFDM systems with VCs using a less-than-block-size number of received symbols. Simulation results demonstrated the effectiveness of the proposed methods.\",\"PeriodicalId\":420837,\"journal\":{\"name\":\"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2014.6941325\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2014.6941325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Subspace-based blind and semiblind channel estimation in OFDM systems with virtual carriers using few received symbols
In this paper, we study subspace-based (SS) methods for blind and semiblind channel estimation in OFDM systems with virtual carriers (VC) using few received received symbols. The methods work in both zero-padded (ZP) and cyclic-prefixed (CP) guard interval types, based on viewing the employment of VCs as precoding of the data matrix using a rank-deficient precoder whose columns represent polynomials that have a common divisor with a degree equal to the number of VCs. The proposed method is the first subspace method to work in CP-OFDM systems with VCs using a less-than-block-size number of received symbols. Simulation results demonstrated the effectiveness of the proposed methods.