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An EM-Based Time-Domain Channel Estimation Algorithm Using a priori Information

机译:基于先验信息的基于EM的时域信道估计算法

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摘要

Based on the expectation-maximization (EM) algorithm, an iterative time-domain channel estimation approach capable of using a priori information is proposed for orthogonal frequency division multiplexing (OFDM) systems in this letter: it outperforms its noniterative counterpart in terms of estimation accuracy as well as bit error rate (BER) performance. Numerical simulations demonstrate that an SNR gain of 1 dB at BER = 10~(-4) with only one iteration and estimation mean square error (MSE) which nearly coincides with the Cramer-Rao bound (CRB) in the low SNR region can be obtained, thanks to the efficient use of a priori information.
机译:基于期望最大化(EM)算法,针对正交频分复用(OFDM)系统,提出了一种能够使用先验信息的迭代时域信道估计方法:就估计精度而言,该方法优于其非迭代方法。以及误码率(BER)性能。数值仿真表明,在BER = 10〜(-4)时,仅进行一次迭代,估计均方误差(MSE)几乎与低SNR区域的Cramer-Rao限(CRB)一致,则SNR增益为1 dB。得益于有效利用先验信息。

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