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An Efficient Adaptive Channel Estimation Algorithm for MIMO OFDM Systems-Study of Doppler Spread Tolerance

机译:一种有效的MIMO OFDM系统自适应信道估计算法-多普勒扩展容差研究

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In this paper we develop an adaptive MIMO channel estimation algorithm for space-time block coded OFDM systems. The presented algorithm is based on Expectation Maximization (EM) technique by decomposing the superimposed received signals into their signal components, and estimating the channel parameters of each signal component separately. We also study and compare our proposed EM-based algorithm with a previously introduced recursive-least-squares based algorithm for MIMO OFDM systems. At each iteration the EM algorithm decomposes the problem of multi-channel estimation into channel estimation for each transmit-receive link. In this paper we also study the Doppler spread tolerance of our proposed algorithm in a fast fading environment, and investigate how it affects the system BER performance.
机译:在本文中,我们为空时分组编码OFDM系统开发了一种自适应MIMO信道估计算法。提出的算法基于期望最大化(EM)技术,将叠加的接收信号分解为它们的信号分量,并分别估计每个信号分量的信道参数。我们还研究并比较了我们提出的基于EM的算法和先前介绍的基于递归最小二乘的MIMO OFDM系统算法。在每次迭代中,EM算法将多信道估计问题分解为每个发射-接收链路的信道估计。在本文中,我们还研究了我们提出的算法在快速衰落环境中的多普勒扩展容限,并研究了它如何影响系统BER性能。

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