A novel decision-directed channel estimator for OFDM systems

Jiankang Zhang, E. Chen, X. Mu, Shou-yi Yang
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Abstract

Existing DD estimators in OFDM systems do not appropriately reduce the influence brought by incorrect decision, and hence suffer from error propagation. In order to mitigate the error propagation in DD channel estimation, a novel DD channel estimator based on recursive linear minimum mean-square error (LMMSE) is proposed. The algorithm takes the error vector of previous channel state information (CSI) estimation as new information for the current CSI estimation, then calculates the desired correction that the new information brings to the current CSI estimation according to the orthogonality principle and corrects the current CSI estimation with this correction term, thereby the effect induced by incorrect decision can be reduced. Analysis and simulation results have shown that the performance of the proposed algorithm is much better than the conventional DD channel estimation, and close to the optimal LMMSE estimator.
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一种新的OFDM系统决策导向信道估计器
OFDM系统中现有的DD估计器没有很好地减小错误决策带来的影响,因而存在误差传播的问题。为了减轻DD信道估计中的误差传播,提出了一种基于递归线性最小均方误差(LMMSE)的DD信道估计方法。该算法将先前信道状态信息(CSI)估计的误差向量作为当前CSI估计的新信息,然后根据正交性原理计算新信息对当前CSI估计带来的期望校正量,并用该校正项对当前CSI估计进行校正,从而减少错误决策带来的影响。分析和仿真结果表明,该算法的性能大大优于传统的DD信道估计,接近最优LMMSE估计。
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