【摘要】 本文的主要贡献在于:1)证明了对单输入单输出(Single-Input-Single-Output SISO)IIR信道的输出进行过采样可以将其转化成单输入多输出(Single-Input-Multiple-Output SIMO)的多信道模型,不同的子信道具有相同的AR系数。2)由SISO向SIMO模型的转化时,本文指出子信道数是可变的,并且当子信道数等于过采样的倍数时,辨识效果最好。实验证明本文算法估计效果好,计算量小。特别是当用于估计的点数较少时仍能保持良好的性能,因而可适用于快变信道。更多还原

【Abstract】 In this paper, we prove that oversampling a Single-Input-Single-Output (SISO) ⅡR system can be transformed into a Single-Input-Multiple-Output (SIMO) model. By oversampling it, We also prove that different subchannels have same AR coefficients and the number of subchannels can be varied which will affect the identification performance. The most proper number of subchannels is adopted in the proposed algorithm to get better performance. Simulation results demonstrate the effectiveness of the proposed method.更多还原