Analysis of a reduced-communication diffusion LMS algorithm

作者：Arablouei Reza^*; Werner Stefan; Dogancay Kutluyil; Huang Yih Fang

来源：Signal Processing, 2015, 117: 355-361.

DOI：10.1016/j.sigpro.2015.06.006

• Adaptive networks
• Communication reduction
• Diffusion adaptation
• Distributed estimation
• Least mean-square
• Performance analysis

In diffusion-based algorithms for adaptive distributed estimation, each node of an adaptive network estimates a target parameter vector by creating an intermediate estimate and then combining the intermediate estimates available within its closed neighborhood. We analyze the performance of a reduced-communication diffusion least mean-square (RC-DLMS) algorithm, which allows each node to receive the intermediate estimates from only a subset of its neighbors at each iteration. This algorithm eases the usage of network communication resources and delivers a trade-off between estimation performance and communication cost. We show analytically that the RC-DLMS algorithm is stable and convergent in both mean and mean-square senses. We also calculate its theoretical steady-state mean-square deviation. Simulation results demonstrate a good match between theory and experiment.

• 出版日期2015-12
• 单位CSIRO