首页> 外文会议>IEEE International Symposium on Signal Processing and Information Technology >Comparative Analysis of Spatial Covariance Matrix Estimation Methods in OFDM Communication Systems
【24h】

Comparative Analysis of Spatial Covariance Matrix Estimation Methods in OFDM Communication Systems

机译:OFDM通信系统中空间协方差矩阵估计方法的比较分析

获取原文
获取外文期刊封面目录资料

摘要

The performance of the Orthogonal Frequency Division Multiplexing (OFDM) communication systems may be significantly improved by use of the multiple antenna techniques. One of the multiple antenna techniques applications is the co-channel interference mitigation by exploiting the Minimum Mean Square Error (MMSE) signal detection algorithm. The realization of the algorithm requires knowledge of interference plus additive noise spatial covariance matrix (SCM) estimate for every subcarrier of the OFDM symbol. In this paper the independent SCM estimation for every subcarrier of OFDM symbol is considered first and then the algorithm is proposed for the enhancement of such estimate by taking into account the frequency correlation of the propagation channel and additional knowledge of OFDM symbol structure. As a result, it is shown that exploiting of the a priori information about the channel impulse response delay spread and symbol structure may lead to the significant improvement of the estimation accuracy.
机译:通过使用多个天线技术,可以显着提高正交频分复用(OFDM)通信系统的性能。通过利用最小均方误差(MMSE)信号检测算法,多个天线技术应用是共信道干扰缓解。算法的实现需要对OFDM符号的每个子载波的干扰加附加噪声空间协方差矩阵(SCM)估计。在本文中,首先考虑OFDM符号的每个子载波的独立SCM估计,然后通过考虑传播信道的频率相关性以及OFDM符号结构的附加知识来提高算法来提高这种估计。结果,示出了利用关于信道脉冲响应延迟扩展和符号结构的先验信息可能导致估计精度的显着提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号