基於模型化通道估測法之正交分頻多工系統是利用均勻分布的領航訊號以最小平方法則演算法估測於局部區域內迴歸模型的通道參數。然而，要得到迴歸模型的通道參數必須使用較多的領航訊號才能有降低雜訊的效果，因此造成必須要有較大的記憶體容量和計算複雜度的缺點。基於局部區域之間模型參數的連續性，本論文提出新的模型化通道估測法，只需要與模型化通道參數相同數目的領航訊號，即可利用遞迴方程式達到持續有效的可適性通道模型參數估測，並且由於局部區域內只需要少量領航訊號數目，因此可以節省內插符元於迴歸模型時記憶體的容量。理論的分析和模擬皆顯示所提出的通道模型參數估測方式都可以得到較佳的性能。 The OFDM model-based channel estimation technique uses the least squares method to estimate model parameters through uniformly distributed pilots in a local region. However, the regression model must use as many pilots as possible to reduce the effect of noises. Therefore, it increases storage size and computational complexity. Since model parameters has the continuity characteristics between neighboring local regions, a new model-based channel estimation method is proposed to adaptively estimate model parameters by recursive equations such that the required number of pilots is reduced, where the used number of pilots is the same as the number of model parameters and thus, the new algorithm reduces the required storage size for interpolating the symbols used in the regression model. Theoretical analyses and simulations show that better performance is obtained as well by the proposed parameter estimation method.
