过去一致性算法的均方根误差性能评价

Carolina Reyes, Thibault Hilaire, S. Paul, C. Mecklenbräuker
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引用次数: 20

摘要

在之前的工作中,我们开发并研究了一种基于共识传播的无线传感器网络分布式投影逼近子空间跟踪算法(PAST-Consensus)。初步的仿真结果显示了良好的跟踪能力,并且仍然降低了复杂度,这促使我们对上述算法的性能进行评估。在这项工作中,一些仿真结果将比较几种信噪比的均方根误差,以及由其角度差给出的信号子空间中的误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the root mean square error performance of the PAST-Consensus algorithm
In previous work, we developed and investigated a distributed Projection Approximation Subspace Tracking Algorithm (PAST-Consensus) based on Consensus Propagation for wireless sensor networks. Preliminary simulation results showing a good tracking capability and still reduced complexity, have motivated us to evaluate the performance of the aforementioned algorithm. In this work, some simulation results will be presented comparing the root mean square error for several signal to noise ratios, as well as the error in the signal subspace given by its angle difference.
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