论文部分内容阅读
本文提出了递推估计传递函数阵子子模型(SSM)参数的辅助模型方法。不同噪信比下的数字仿真结果表明了所提出的算法的有效性。该算法计算量小,且可用于在线辨识。
In this paper, an auxiliary model method of recursive estimation of transfer function sub-model (SSM) parameters is proposed. The simulation results under different SNRs show the effectiveness of the proposed algorithm. The algorithm is computationally intensive and can be used for on-line identification.