RSS-Based Localization via Bayesian Ranging and Iterative Least Squares Positioning
RSS-Based Localization via Bayesian Ranging and Iterative Least Squares Positioning
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DOI：
10.1109/lcomm.2014.040214.132781
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发表时间：
2014-05-01
期刊：
影响因子：
--
通讯作者：
Ricciato, Fabio
中科院分区：
文献类型：
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作者：
Coluccia, Angelo;Ricciato, Fabio
在基于接收信号强度(RSS)测量的基于距离的定位框架下，我们提出了一种新的贝叶斯公式来描述测距问题，而不是通常的路径损耗公式求逆方法。此外，我们还考虑了一种基于迭代最小二乘(ILS)的常规侧向级的替代方案。数值结果表明，这两种方法的结合大大提高了基于距离的定位的精度，而计算复杂度仅略有增加，从而缩小了与更复杂的无距离定位方法的差距。
In the framework of range-based localization from Received Signal Strength (RSS) measurements, we propose a novel Bayesian formulation of the ranging problem alternative to the common approach of inverting the Path-Loss formula. Additionally, we consider an alternative to the conventional lateration stage based on an Iterative Least Squares (ILS). Numerical results show that the combination of the proposed approaches improves considerably the accuracy of range-based localization with only a slight increase of computational complexity, thus reducing the gap with the more complex range-free methods.