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Tracking Performance of an Adaptive MIMO-OFDM LS Estimator via MSE Criterion Over a Wireless Time Correlated Fading Channel

机译:在无线时间相关衰落信道上通过MSE准则跟踪自适应MIMO-OFDM LS估计器的性能

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摘要

In this contribution, the performance of an adaptive least squares channel estimator for a time correlated MIMO-OFDM channel is presented in a closed form relation. As a criterion for performance evaluation, the well-known mean square error (MSE) is employed. The pilot aided channel estimation is used to extract the channel coefficients. To minimize the MSE and arrange phase shift orthogonally, the pilots are constructed with equal power and space. The model of the channel is developed by implementing a first order Markov model, and it is proved that the performance of the system is dependent upon the defined forgetting factor, the number of transmit antennas, the number of multipath channel taps, transmitted power, and Doppler shift. The effect of each parameter on the performance of the system is discussed separately. The computer simulation results follow with the analytical results comprehensively.
机译:在该贡献中,以封闭形式关系呈现了与时间相关的MIMO-OFDM信道的自适应最小二乘信道估计器的性能。作为性能评估的标准,采用了众所周知的均方误差(MSE)。导频辅助信道估计用于提取信道系数。为了最小化MSE并正交安排相移,应以相等的功率和空间构造导频。通过实现一阶马尔可夫模型来开发信道模型,并证明系统的性能取决于定义的遗忘因子,发射天线的数量,多径信道抽头的数量,发射功率和多普勒频移。每个参数对系统性能的影响将分别讨论。计算机仿真结果与分析结果完全一致。

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