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Bandlimited field estimation from samples recorded by a location-unaware mobile sensor

机译:从不知道位置的移动传感器记录的样本中进行带限场估计

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Spatial field sampling with mobile sensor has recently been addressed in the literature. This work introduces and proposes solution to a fundamental question: can a spatial field be estimated from samples taken by a mobile sensor at unknown sampling locations along a path? Spatially one-dimensional and bandlimited, and temporally fixed fields are considered. It is assumed that field samples are collected on spatial locations realized by an unknown renewal process. That is, the sampling locations and the inter-sample distribution in the renewal process are both unknown. It is shown that average mean-squared error in field estimation decreases as O(1) where n is the sampling-rate employed by the mobile sensor. The sampling rate can be increased by controlling the mean value of the inter-sample spacing by a location unaware mobile sensor.
机译:最近在文献中解决了具有移动传感器的空间场采样。这项工作介绍并提出了一个基本问题的解决方案:可以从一个移动传感器沿着路径的未知采样位置估计空间字段吗?考虑空间一维和带状的和时间固定字段。假设在由未知的续展过程中实现的空间位置上收集现场样本。也就是说,更新过程中的采样位置和采样间分布都是未知的。结果表明,现场估计中的平均平均误差减小为O(1 / N),其中N是移动传感器采用的采样率。可以通过通过不知道移动传感器控制样本间距的平均值来增加采样率。

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