Affine projection algorithms have shown robustness against highly correlated input signals. To make the affine projection algorithm applicable for parameter estimation in wireless sensor networks, this work proposed a novel distributed affine projection algorithm by using the adapt-then-combine (ATC) scheme of the diffusion strategy. However, poorly performing nodes can potentially degrade to estimation performance. Thus, we develop an improved ATC diffusion affine projection algorithm (improved ATC-dAPA) with adaptive node selection to maintain the estimation accuracy. The mean and mean square deviation of the proposed algorithm are analyzed. The numerical simulation results illustrate that the proposed algorithm can achieve more accurate estimations than several related algorithms.

中文翻译：

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一种改进的无线传感器网络扩散仿射投影估计算法

仿射投影算法已显示出对高度相关的输入信号的鲁棒性。为了使仿射投影算法适用于无线传感器网络中的参数估计，本工作利用扩散策略的自适应然后组合（ATC）方案提出了一种新颖的分布式仿射投影算法。但是，性能不佳的节点可能会降低估计性能。因此，我们开发了一种改进的 ATC 扩散仿射投影算法（改进的 ATC-dAPA），具有自适应节点选择以保持估计精度。分析了该算法的均值和均方偏差。数值仿真结果表明，所提出的算法比几种相关算法可以实现更准确的估计。