论文标题
使用通道脉冲响应分布的单台UWB定位
Single-anchor UWB Localization using Channel Impulse Response Distributions
论文作者
论文摘要
超宽带（UWB）设备被广泛用于室内定位方案。单立与UWB的本地化显示出优势，因为它的简单系统设置与常规的双向范围（TWR）和三尾部定位方法相比。在这项工作中，我们专注于使用高斯混合模型（GMM）在不同位置区域中学习通道脉冲响应（CIR）的统计特征的单台UWB定位方法。我们表明，通过学习不同延迟组件的振幅的联合分布，与独立考虑每个延迟箱相比，我们实现了更准确的位置估计。此外，我们在一组CIR之间开发了相似性指标。使用此基于集合的相似性度量，我们可以进一步改善估计性性能，而不是分别处理每个快照。我们在多个应用程序方案中展示了所提出方法的优势。
Ultra-wideband (UWB) devices are widely used in indoor localization scenarios. Single-anchor UWB localization shows advantages because of its simple system setup compared to conventional two-way ranging (TWR) and trilateration localization methods. In this work, we focus on single-anchor UWB localization methods that learn statistical features of the channel impulse response (CIR) in different location areas using a Gaussian mixture model (GMM). We show that by learning the joint distributions of the amplitudes of different delay components, we achieve a more accurate location estimate compared to considering each delay bin independently. Moreover, we develop a similarity metric between sets of CIRs. With this set-based similarity metric, we can further improve the estimation performance, compared to treating each snapshot separately. We showcase the advantages of the proposed methods in multiple application scenarios.
