{"title":"多媒体通信中的自适应天线算法","authors":"J. Thompson, R. Tanner","doi":"10.1109/VETECF.2000.886868","DOIUrl":null,"url":null,"abstract":"This paper presents an investigation into receiver algorithms for multiple transmit and receiver systems. A simulation tool has been developed which uses powerful convolutional coding to optimise performance. A number of candidate receiver algorithms are tested to compare performance and complexity. The results show that space-time trellis coding performs best, but is associated with high complexity. A receiver based on minimum mean squared error beamforming is also found to perform well.","PeriodicalId":186198,"journal":{"name":"Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive antenna algorithms for multimedia communications\",\"authors\":\"J. Thompson, R. Tanner\",\"doi\":\"10.1109/VETECF.2000.886868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an investigation into receiver algorithms for multiple transmit and receiver systems. A simulation tool has been developed which uses powerful convolutional coding to optimise performance. A number of candidate receiver algorithms are tested to compare performance and complexity. The results show that space-time trellis coding performs best, but is associated with high complexity. A receiver based on minimum mean squared error beamforming is also found to perform well.\",\"PeriodicalId\":186198,\"journal\":{\"name\":\"Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152)\",\"volume\":\"189 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETECF.2000.886868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECF.2000.886868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive antenna algorithms for multimedia communications
This paper presents an investigation into receiver algorithms for multiple transmit and receiver systems. A simulation tool has been developed which uses powerful convolutional coding to optimise performance. A number of candidate receiver algorithms are tested to compare performance and complexity. The results show that space-time trellis coding performs best, but is associated with high complexity. A receiver based on minimum mean squared error beamforming is also found to perform well.