Acta Metallurgica Sinica(English letters) ›› 2009, Vol. 16 ›› Issue (2): 35-38.doi: 10.1016/S1005-8885(08)60198-3

• Wireless • 上一篇    下一篇

Modified precoding strategy over MIMO double-correlated channels

金立标, LI Jian-zeng   

  1. School of Information Engineering, Communication University of China, Beijing 100024, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-30
  • 通讯作者: 金立标

Modified precoding strategy over MIMO double-correlated channels

JIN Li-biao, LI Jian-zeng   

  1. School of Information Engineering, Communication University of China, Beijing 100024, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-30
  • Contact: JIN Li-biao

摘要:

Double-correlated channels commonly occur due to insufficient scattering around both the transmitting and receiving antennas. In this article, the authors propose a linear precoding strategy with a modified system model over double-correlated channels. In this system model, an inner decorrelation strategy is added combined with precoding. First, a linear precoder that achieves minimum bit error rate (MBER) is proposed and analyzed based on the modified system model. The simulation results show that the bit error rate (BER) performance can be improved by decorrelation. Second, the influence of double correlation on multiple input and multiple output (MIMO) capacity is analyzed and simulated.

关键词:

MIMO,;precoding,;decorrelation,;capacity

Abstract:

Double-correlated channels commonly occur due to insufficient scattering around both the transmitting and receiving antennas. In this article, the authors propose a linear precoding strategy with a modified system model over double-correlated channels. In this system model, an inner decorrelation strategy is added combined with precoding. First, a linear precoder that achieves minimum bit error rate (MBER) is proposed and analyzed based on the modified system model. The simulation results show that the bit error rate (BER) performance can be improved by decorrelation. Second, the influence of double correlation on multiple input and multiple output (MIMO) capacity is analyzed and simulated.

Key words:

MIMO;precoding;decorrelation;capacity