摘要
该文针对稀疏多径信道环境中的MIMO-OFDM系统所存在的IQ不平衡问题,提出了一种IQ不平衡参数和信道的联合估计方法。推导了联合估计的时域模型,提出了基于1 2l-l优化模型和平行坐标下降算法的联合估计算法。仿真结果表明,所提方法与传统的频域最小二乘算法和匹配追踪算法相比,显著提高了系统性能。
Considering the issue of In-phase and Quadrature-phase (IQ) imbalances in MIMO-OFDM systems with sparse multipath channels, a method jointing IQ imbalance with sparse channel estimation is proposed. The time-domain model for joint IQ imbalance and sparse channel estimation is derived and an estimation scheme based on l1-l2 norm optimization model and Parallel Coordinate Descent (PCD) algorithm is proposed. Simulation results show that the proposed scheme improves obviously the system performance compared with the traditional frequency-domain Least Squares (LS) and Matching Pursuit (MP) algorithms.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第2期280-284,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61271230)
东南大学移动通信国家重点实验室开放研究基金(2010D13)资助课题
关键词
无线通信
MIMO
OFDM
IQ不平衡
稀疏多径信道
估计
Wireless communication
MIMO
OFDM
In-phase and Quadrature-phase (IQ) imbalances
Sparse multipath channels
Estimation