Co-channel interference rejection for MIMO-OFDM systems  

MIMO-OFDM系统中同信道干扰抑制（英文）

作　　者：潘云强 孟鑫[1] 江彬[1] 高西奇[1] 

机构地区：[1]东南大学移动通信国家重点实验室,南京210096

出　　处：《Journal of Southeast University(English Edition)》2015年第2期170-174,共5页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No.61320106003,61222102);the National High Technology Research and Development Program of China(863 Program)(No.2012AA01A506)

摘　　要：A method based on the maximum a posteriori probability （MAP） criterion is proposed to estimate the channel frequency response （CFR） matrix and interference- plus-noise spatial covariance matrix （SCM） for multiple input and multiple output orthogonal frequency division multiplexing （MIMO-OFDM） systems. An iterative solution is proposed to solve the MAP-based problem and an interference rejection combining （IRC） receiver is derived to suppress co-channel interference （CCI） based on the estimated CFR and SCM. Furthermore, considering the property of SCM, i. e., Hermitian and semi-definite, two schemes are proposed to improve the accuracy of SCM estimation. The first scheme is proposed to parameterize the SCM via a sum of a series of matrices in the time domain. The second scheme measures the SCM on each subcarrier as a low-rank model while the model order can be chosen through the penalized-likelihood approach. Simulation results are provided to demonstrate the effectiveness of the proposed method.针对MIMO-OFDM系统,提出了一种最大后验概率的信道矩阵和干扰协方差矩阵估计方法,并设计了迭代求解算法.利用所估计的信道矩阵和干扰协方差矩阵,采用IRC接收机完成同信道干扰的抑制.利用干扰协方差阵的共轭对称与半正定等特性,提出2种干扰协方差矩阵的处理方案以提高其估计精度.第1种方案将每个子载波上干扰协方差矩阵表征为一系列时域矩阵之和,第2种方案将每个子载波上的干扰协方差矩阵用低阶模型来建模,其中模型阶数通过最小描述长度算法估计.仿真结果表明了所提方案的有效性.

关 键 词：channel estimation spatial covariance matrix（ SCM ） estimation interference rejection interferencerejection combining （IRC） receiver 

分 类 号：TN929.5[电子电信—通信与信息系统]