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首页> 外文会议>Systems of Signal Synchronization, Generating and Processing in Telecommunications >Stationary Channel Factors and Signal Disturbances in a Direct Converter Receiver in a System with MIMO Joint Estimation Algorithm
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Stationary Channel Factors and Signal Disturbances in a Direct Converter Receiver in a System with MIMO Joint Estimation Algorithm

机译：具有MIMO联合估计算法的系统中直接转换器接收机中的固定信道因子和信号干扰

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摘要

The article discusses the algorithm for the joint estimation of the stationary channel factors and signal distortions, such as DC drift, the frequency shift remaining from the demodulation procedure, amplitude and phase imbalance (IQ-imbalance). The problem of estimating unknown parameters is solved in two stages, by combining two procedures. The first, based on the polynomial approximation of the generalized communication channel and the linear least squares (MLS) method, estimates the constant components of the signal quadrature, amplitude and phase imbalance, as well as a rough estimate of the channel frequency and factors. The second procedure is synthesized using the Taylor approximation, a modified method of least squares in the form of a functional A.N. Tikhonov and regularization method. It is a nonlinear recursive algorithm for obtaining a more accurate estimate of the frequency and channel factors. This approach allows a sufficiently high estimation accuracy to reduce the complexity of the algorithm compared to using only the second procedure. The resulting algorithm works under conditions of uncorrelated Rayleigh fading in MIMO systems with spatial multiplexing with a priori uncertainty regarding the statistical characteristics of the communication channel (except for the dispersion of additive noise) and the laws of noise distribution, both phase and additive.
机译：本文讨论了用于联合估计静止信道因子和信号失真（例如DC漂移，解调过程中剩余的频移，幅度和相位不平衡（IQ-imbalance））的算法。通过组合两个过程，可以在两个阶段中解决估计未知参数的问题。首先，基于广义通信信道的多项式逼近和线性最小二乘（MLS）方法，估计信号正交，幅度和相位不平衡的常数分量，以及对信道频率和因子的粗略估计。第二个过程是使用泰勒近似法合成的，泰勒近似法是函数A.N.形式的最小二乘法的改进方法。 Tikhonov和正则化方法。它是一种非线性递归算法，用于获得对频率和信道因子的更准确的估计。与仅使用第二过程相比，该方法允许足够高的估计精度以降低算法的复杂性。所得算法在具有空间复用的MIMO系统中在不相关瑞利衰落的条件下工作，该空间复用具有关于通信信道的统计特性（除了加性噪声的色散）以及噪声分布定律（相位和加性）的先验不确定性。

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