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Single beacon based multi-robot cooperative localization using Moving Horizon Estimation

机译:基于移动信标估计的基于单信标的多机器人协作定位

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This paper studies three-dimensional multi-robot Cooperative Localization (CL) problem. Most of existing CL strategies adopt Extended Kalman Filter (EKF) or Maximum a Posteriori (MAP). In this paper, a novel approach based on Moving Horizon Estimation (MHE) is proposed. The main contribution of this paper is twofold: 1) MHE is integrated with EKF for three-dimensional CL using single mobile beacon, which can bound localization error, impose various constraints on states and noises, and make use of previous range measurements for current estimation. 2) A sufficient condition on observability of multi-robot CL is derived by using Fisher Information Matrix. Simulation is conducted to verify that the proposed MHE based CL algorithm outperforms EKF based method in terms of localization accuracy, and two scenarios where our algorithm is superior to EKF are discussed.
机译:本文研究了三维多机器人协作定位(CL)问题。现有的大多数CL策略都采用扩展卡尔曼滤波器(EKF)或最大后验(MAP)。本文提出了一种基于移动视点估计(MHE)的新方法。本文的主要贡献有两个方面:1)使用单个移动信标将MHE与EKF集成到三维CL中,可以约束定位误差,对状态和噪声施加各种约束,并利用先前的距离测量进行电流估计。 2)利用Fisher信息矩阵推导了多机器人CL可观测性的充分条件。通过仿真验证了所提出的基于MHE的CL算法在定位精度方面优于基于EKF的方法,并讨论了我们的算法优于EKF的两种情况。

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