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Diffusion LMS With Correlated Regressors I: Realization-Wise Stability

机译:具有相关回归的扩散LMS I:明智的实现稳定性

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摘要

There has been considerable development of distributed adaptive algorithms in recent years with diffusion algorithms offering very attractive features, but their performance analysis has been severely limited in two ways. First, since the algorithms operate in real time, stability analysis must be done realization-wise but there are no such results. Second, almost all analyses to date assume white regressors, whereas, in practice, this is rare. In this paper, we remedy these limitations using stochastic averaging analysis methods. The key to the analysis is the recognition, for the first time, that the associated error systems have a mixed time-scale structure. Simulations illustrate the new results.
机译:近年来,分布式自适应算法有了长足的发展,扩散算法提供了非常吸引人的功能,但是它们的性能分析受到了两种方式的严重限制。首先,由于算法是实时运行的,因此必须在实现方面进行稳定性分析,但是没有这种结果。其次,迄今为止,几乎所有分析都假设白色回归变量,而在实践中,这种情况很少见。在本文中,我们使用随机平均分析方法来弥补这些局限性。分析的关键是首次认识到相关的误差系统具有混合的时标结构。仿真说明了新结果。

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