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A Study on the Covariance Matrix Correction of Correlation Signal for Correct Direction Estimation in Phase Mismatch

机译:相位不匹配中正确方向估计的相关信号协方差矩阵校正研究

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In this paper, the direction of arrival of the desired target is estimated from the correlation channel. In wireless communication, it is very important technology to estimate the desired signal due to interference in the multipath. In order to remove the interference signal, a desired signal can be estimated by using the weight of the covariance matrix. Adaptive array antennas are applied to the receiving system to update the weights of the arrival direction algorithms to estimate the desired directions. The weights update uses a covariance matrix of covariance with modified covariance matrix. We obtain the correction covariance matrix using the signal phase mismatch and apply the correction covariance matrix to the arrival direction algorithm to estimate the target direction. Through simulation, we compare and analyze the performance of the proposed algorithm and the existing MUSIC algorithm. We analyze performance of correlation channel and uncorrelated channel, and proved that the proposed algorithm in correlation channel is superior to existing algorithm.
机译:在本文中,从相关通道估计所需目标的到达方向。在无线通信中,由于多径干扰而估计所需信号是一项非常重要的技术。为了去除干扰信号,可以通过使用协方差矩阵的权重来估计期望信号。自适应阵列天线应用于接收系统,以更新到达方向算法的权重,以估计所需方向。权重更新使用协方差的协方差矩阵和修改后的协方差矩阵。我们使用信号相位不匹配获得校正协方差矩阵,并将校正协方差矩阵应用于到达方向算法以估计目标方向。通过仿真,我们比较和分析了该算法与现有MUSIC算法的性能。通过分析相关信道和不相关信道的性能,证明所提出的相关信道算法优于现有算法。

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