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Robust Shrinkage Range Estimation Algorithms Based on Hampel and Skipped Filters

机译:基于Hampel和跳过滤波器的鲁棒收缩范围估计算法。

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Herein, we present robust shrinkage range estimation algorithms for which received signal strength measurements are used to estimate the distance between emitter and sensor. The concepts of robustness for the Hampel filter and skipped filter are combined with shrinkage for the positive blind minimax and Bayes shrinkage estimation. It is demonstrated that the estimation accuracies of the proposed methods are higher than those of the existing median-based shrinkage methods through extensive simulations.
机译:在这里,我们提出了鲁棒的收缩范围估计算法,对于该算法,接收到的信号强度测量值用于估计发射器和传感器之间的距离。 Hampel滤波器和跳过滤波器的鲁棒性概念与针对正盲minimax和贝叶斯收缩估计的收缩结合在一起。通过广泛的仿真表明,所提出方法的估计精度高于现有基于中值的收缩方法的估计精度。

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