{"title":"编码MIMO-OFDM传输中各种优化技术的比较分析","authors":"S. Singh, Sumit Raghuvanshi","doi":"10.1109/CICN.2011.54","DOIUrl":null,"url":null,"abstract":"This paper deals with the comparison of various optimization techniques used for detection of spatially multiplexed transmitted symbols in multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) system. It may be helpful in evaluating the performance of the detection techniques viz zero forcing (ZF), minimum mean square error (MMSE) and maximum likelihood (ML) on the basis of the bit error rate (BER) for a given signal to noise ratio (SNR). A 2x2 MIMO system is used for the performance evaluation in simulation. The receiver decodes the binary phase shift keying (BPSK) signal through low density parity check (LDPC) decoder. A simulation result shows that ML is having a better performance over ZF and MMSE.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparative Analysis of Various Optimization Techniques with Coded MIMO-OFDM Transmission\",\"authors\":\"S. Singh, Sumit Raghuvanshi\",\"doi\":\"10.1109/CICN.2011.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the comparison of various optimization techniques used for detection of spatially multiplexed transmitted symbols in multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) system. It may be helpful in evaluating the performance of the detection techniques viz zero forcing (ZF), minimum mean square error (MMSE) and maximum likelihood (ML) on the basis of the bit error rate (BER) for a given signal to noise ratio (SNR). A 2x2 MIMO system is used for the performance evaluation in simulation. The receiver decodes the binary phase shift keying (BPSK) signal through low density parity check (LDPC) decoder. A simulation result shows that ML is having a better performance over ZF and MMSE.\",\"PeriodicalId\":292190,\"journal\":{\"name\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2011.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2011.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Analysis of Various Optimization Techniques with Coded MIMO-OFDM Transmission
This paper deals with the comparison of various optimization techniques used for detection of spatially multiplexed transmitted symbols in multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) system. It may be helpful in evaluating the performance of the detection techniques viz zero forcing (ZF), minimum mean square error (MMSE) and maximum likelihood (ML) on the basis of the bit error rate (BER) for a given signal to noise ratio (SNR). A 2x2 MIMO system is used for the performance evaluation in simulation. The receiver decodes the binary phase shift keying (BPSK) signal through low density parity check (LDPC) decoder. A simulation result shows that ML is having a better performance over ZF and MMSE.