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The Dynamic Bearing Observability Matrix Nonlinear Observability and Estimation for Multi-Agent Systems

机译:多助理系统的动态轴承可观察性矩阵非线性可观察性和估计

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We consider the problem of localization in multi-agent formations with bearing only measurements, and analyze the fundamental observability properties for dynamic agents. The current well-established approach is based on the so-called rigidity matrix, and its algebraic properties (e.g., its rank and nullspace). This method is typically motivated using first-order derivatives, and shows, among other facts, that the global scale of the formation is not observable. This work shows that current results represent an incomplete view of the problem. In particular, we show that 1) current methods are a particular instantiation of nonlinear observability theory, 2) we can introduce the concept of the dynamic bearing observability matrix from higher order derivatives to study the observability of dynamic formations, and 3) the global scale is, in fact, generally observable when the agents move according to known inputs. We use tools from Riemannian geometry and Lie group theory to tackle, in a general and principled way, the general formulation of the localization problem with states that include both rotations and translations. Finally, we verify our theoretical results by deriving and applying, in both simulations and real experiments on UAVs, a centralized Extended Kalman Filter on Lie groups that is able to estimate the global scale of a moving formation.
机译:我们考虑使用轴承测量的多种子体形成中定位问题,并分析动态代理的基本可观察性性能。目前的良好良好的方法基于所谓的刚性基质,及其代数特性(例如,其等级和缺斑)。该方法通常使用一阶衍生物的动力,并且在其他事实中显示出形成的全球规模不是观察到的。这项工作表明,当前结果代表了对问题的不完整视图。特别地,我们表明了1)目前的方法是非线性可观察性理论的特定实例化,2)我们可以从高阶导数介绍动态轴承可观察性矩阵的概念,以研究动态形成的可观察性,以及3)全球规模事实上,当代理根据已知输入移动时通常可观察到。我们使用riemannian几何和Lie Group理论的工具以一般和原则的方式解决本地化问题的常规制定,其中包含旋转和翻译。最后,我们通过在无人机上的模拟和实际实验中获得和应用来验证我们的理论结果,在LIE组上的集中扩展卡尔曼滤波器能够估计移动形成的全球范围。

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