Joint IQ Imbalance and Channel Estimation for MIMO-OFDM Systems with Sparse Multipath Channels
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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l1l2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。Abstract: 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 onl1l2 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.
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