【摘要】 针对零中频接收机的IQ不平衡问题，提出了一种数字域的基于统计特征的盲估计IQ不平衡校正算法，该算法利用具有循环对称特性的信号的统计特征，直接估计出系统的不平衡参数，进而完成IQ不平衡校正，相比于传统的算法，本算法具有计算复杂度低，校正精度高且不容易受到加性噪声的干扰等优点。仿真结果表明，所提算法不仅可以准确估计零中频接收机的IQ不平衡参数，还能对IQ不平衡进行有效的校正，从而提高系统的镜像抑制比。更多还原

【Abstract】 Aiming at the IQ imbalance problem of zero-IF receivers, a blind estimation IQ imbalance correction algorithm based on statistical characteristics in the digital domain is proposed. The algorithm uses the statistical characteristics of signals with cyclic symmetry to directly estimate the system’s imbalance parameters, and then complete IQ imbalance correction. Compared with traditional algorithms, this algorithm has the advantages of low computational complexity, high correction accuracy and less susceptibility to additive noise interference. The simulation results show that the proposed algorithm can not only accurately estimate the IQ imbalance parameters of the zero-IF receiver, but also effectively correct the IQ imbalance, thereby improving the image rejection ratio of the system.更多还原