期刊文献+

一种TDD-MIMO系统混合预编码传输机制

A TDD-MIMO Transmission Scheme with Hybrid Precoding
下载PDF
导出
摘要 针对TDD-MIMO系统中,天线之间存在相关性时会影响系统性能的问题,提出一种混合预编码传输机制。在该机制中,基站首先采用一种低复杂度的信道估计算法来计算信道矩阵,然后计算信道矩阵的相关度来判断相关性的高低并选择相应的预编码方式。当相关度大于等于转换系数时,采用基于协方差矩阵的预编码;反之,则利用基于LR的预编码。仿真结果表明,该机制充分利用了2种预编码分别适用于不同相关性范围的特点,在降低了系统的误码率的同时保持了低复杂度,提高了系统在天线之间存在相关性时的容量。仿真验证了该机制的有效性。 In TDD-MIMO systems,the antenna correlation has a great impact on the system performance. In order to overcome this problem,a hybrid precoding scheme was proposed. In this scheme,the channel was estimated at the BS by a low complexity channel estimation method. Then,the correlation factor of the channel was calculated to select the proper precoding method. If the correlation factor was bigger than the threshold,the covariance-based precoding was employed. Otherwise,the LR-based precoding was employed.Simulation results showed that the proposed low-complexity precoding scheme can make full use of the characteristic of the two precoding methods in different correlation ranges,and improve the BER performance and capacity. The effectiveness of the proposed scheme was also verified by the simulation.
出处 《四川大学学报(工程科学版)》 EI CAS CSCD 北大核心 2015年第1期162-166,共5页 Journal of Sichuan University (Engineering Science Edition)
基金 国家自然科学基金资助项目(61301170)
关键词 基于时分双工的多天线系统 相关性 互易性 混合预编码传输 TDD-MIMO systems correlation reciprocity hybrid precoding transmission
  • 相关文献

参考文献2

二级参考文献35

  • 1吕卓,李建东,李维英.MIMO-OFDM系统在选择性衰落信道下的容量分析[J].西安电子科技大学学报,2005,32(6):935-939. 被引量:5
  • 2P. W. Wolniansky, G. J. Foschini, G. D. Golden, et al. V-BLAST: an architecture for realizing very high data rates over the rich- scattering wireless channel. Proc. of the URSI International Symposium on Signals, Systems, and Electronics, 1998: 295– 300. 被引量:1
  • 3H. Yao, G. Wornell. Lattice-reduction-aided detectors for MIMO communication systems. Proc. of the IEEE Global Communications Conference, 2002: 424–428. 被引量:1
  • 4D. Wu¨bben, R. Bo¨hnke, V. Ku¨hn, et al. Near maximum- likelihood detection of MIMO systems using MMSE-based lat- tice reduction. Proc. of the IEEE International Conference on Communications, 2004: 798–802. 被引量:1
  • 5M. Taherzadeh, A. Mobasher, A. K. Khandani. LLL reduction achieves the receiver diversity in MIMO decoding. IEEE Trans. on Information Theory, 2007, 53(12): 4801–4805. 被引量:1
  • 6X. Ma, W. Zhang. Performance analysis for MIMO systems with lattice-reduction aided linear equalization. IEEE Trans. on Communications, 2008, 56(2): 309–318. 被引量:1
  • 7C. Windpassinger, R. F. H. Fischer. Low-complexity near maximum-likelihood detection and precoding for MIMO sys- tems using lattice reduction. Proc. of the Information Theory Workshop, 2003: 345–348. 被引量:1
  • 8C. Stierstorfer, R. F. H. Fischer. Lattice-reduction-aided Tomlinson–Harashima precoding for point-to-multipoint trans- mission. International Journal of Electronics and Communica- tions (AEu¨), 2006, 60(4): 328–330. 被引量:1
  • 9J. P. Kermoal, L. Schumacher, K. Ingemann, et al. A stochas- tic MIMO radio channel model with experimental validiation. IEEE Journal on Selected Areas in Communications, 2002, 20(6): 1211–1226. 被引量:1
  • 10A. van Zelst, J. Hammerschmidt. A single coefficient spatial correlation model for multiple-input multiple-output (MIMO) radio channel. Proc. of the General Assembly of URSI, 2002: 1–4. 被引量:1

共引文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部