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引用次数: 0
摘要
本文介绍了在存在瑞利衰减信道的情况下,利用协方差矩阵分解法为多用户多输入多输出正交频分多址(MIMO-OFDMA)上行链路系统设计的盲载波频率偏移(CFO)估计器。在这种方法中,先从接收信号导出协方差矩阵,然后对协方差矩阵进行 QR 因子分解,得到上三角矩阵。然后,通过计算上三角矩阵的逆来制定成本函数。所提出的估计器不需要信道状态信息或任何先导符号,因此系统频谱效率高。此外,还推导出了精确的 Cramer Rao 下限,从而确定了所提估计器的均方误差下限。仿真结果表明,我们提出的方法优于现有方法。建议的方法还具有更低的计算复杂度。
Blind CFOs Estimation by Capon Method for Multi-User MIMO-OFDMA Uplink System
This letter presents a blind carrier frequency offset (CFO) estimator for multi-user multiple input multiple output-orthogonal frequency division multiple access (MIMO-OFDMA) uplink system by Capon method using covariance matrix decomposition in the presence of Rayleigh fading channel. In this method, a covariance matrix is derived from the received signal, followed by QR factorization of the covariance matrix to get the upper triangular matrix. Then, a cost function is formulated by calculating the inverse of the upper triangular matrix. The proposed estimator does not require channel state information or any pilot symbols, which makes the system spectrum efficient. The exact Cramer Rao lower bound is also derived, establishing a lower limit for the mean squared error of the proposed estimator. Simulation results indicate that our proposed method outperforms existing methods. The proposed method also provides a lower computational complexity.
期刊介绍:
The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.