CAJ | 학술논문

为了解决分布式最小均方算法在输入信号相关性较高时收敛速度较慢、分布式仿射投影算法计算复杂度较高等问题，本文提出了两种分布式子带自适应滤波算法，即递增式和扩散式子带自适应滤波算法。分布式子带自适应滤波算法将节点信号进行子带分割来降低信号的相关性，从而加快收敛速度。由于用于子带分割的滤波器组中包含了抽取单元，所以分布式子带自适应滤波算法和对应的分布式最小均方算法的计算复杂度相近。仿真结果表明，与分布式最小均方算法相比，分布式子带自适应滤波算法具有更好的收敛性能。
위료해결분포식최소균방산법재수입신호상관성교고시수렴속도교만、분포식방사투영산법계산복잡도교고등문제，본문제출료량충분포식자대자괄응려파산법，즉체증식화확산식자대자괄응려파산법。분포식자대자괄응려파산법장절점신호진행자대분할래강저신호적상관성，종이가쾌수렴속도。유우용우자대분할적려파기조중포함료추취단원，소이분포식자대자괄응려파산법화대응적분포식최소균방산법적계산복잡도상근。방진결과표명，여분포식최소균방산법상비，분포식자대자괄응려파산법구유경호적수렴성능。
To address the problem of slow convergence rate of the distributed least mean square algorithms for highly corre-lated input signals and the problem of high computational complexity of the distributed affine projection algorithms,this paper pro-poses two distributed subband adaptive filtering algorithms,i.e.,the incremental and diffusion subband adaptive filtering algorithms. The distributed subband adaptive filtering algorithms partition the signals of nodes to reduce their correlation so that their conver-gence rate can be increased.The computational complexities of the distributed subband adaptive filtering algorithms are close to those of their corresponding distributed least mean square algorithms due to decimation operations included in the filter banks used for subband partition.Simulation results show that the distributed subband adaptive filtering algorithms exhibit good performance as compared to the corresponding distributed least mean square algorithms.