| Joint spatial-frequency blind multiuser detection based on LCCMA |
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| 作者姓名： | ZHAO Fa-yong FENG Guang-zeng |
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| 作者单位： | ZHAO Fa-yong FENG Guang-zeng Department of Communication and Information Engineering，Nanjing University of Posts and Telecommunications，Nanjing 210003，China |
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| 摘 要： | Multicarrier code division multiple access (MC-CDMA) has the ability to combat with frequency selective fading and antenna array can enhance the performance of system. The paper proposes a novel joint spatial-frequency blind multiuser detection for antenna array MC-CDMA based on linear constraint constant modulation algorithm (LCCMA), which has robust performance and can ensue the weight vectors to converge to that of the desired user. Simulation indicates the proposed algorithm has better bit error ratio (BER) performance than that of the traditional beamforming-based two-step algorithm.
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| 收稿时间： | 22 November 2006 |
Joint spatial-frequency blind multiuser detection based on LCCMA |
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| ZHAO Fa-yong FENG Guang-zeng.Joint spatial-frequency blind multiuser detection based on LCCMA[J].The Journal of China Universities of Posts and Telecommunications,2007,14(2):19-22. |
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| Authors: | ZHAO Fa-yong FENG Guang-zeng |
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| Affiliation: | Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China |
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| Abstract: | Multicarrier code division multiple access (MC-CDMA) has the ability to combat with frequency selective fading and antenna array can enhance the performance of system. The paper proposes a novel joint spatial-frequency blind multiuser detection for antenna array MC-CDMA based on linear constraint constant modulation algorithm (LCCMA), which has robust performance and can ensue the weight vectors to converge to that of the desired user. Simulation indicates the proposed algorithm has better bit error ratio (BER) performance than that of the traditional beamforming-based two-step algorithm. |
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| Keywords: | antenna array MC-CDMA LCCMA joint spatial-frequency blind multiuser detection |
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