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Robust Rigid Body Localization Under Position Error

机译:在位置误差下稳健的刚体定位

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摘要

Rigid body localization (RBL) technology, which can obtain both the position estimation and direction information of a target, has been incorporated into location based services (LBS). However, most existing works on the rigid body based LBS assume that there are no sensor position errors, which can lead to misleading results. This paper proposes a semi-definite relaxation method, in which both rigid body sensors and anchor nodes position errors are taken into account. Since the original problem is non-convex, we transform it into the auxiliary variable based semi-definite programming via squaring both sides of range measurement. Simulation results demonstrate that the proposed algorithm outperforms the existed works in terms of root mean square error (RMSE).
机译:刚体定位(RBL)技术可以获得目标的位置估计和方向信息,已被纳入基于位置的服务(LBS)。 然而,基于刚体的LBS上的大多数现有工作假设没有传感器位置误差,这可能导致误导结果。 本文提出了一种半定弛豫方法,其中考虑了刚体传感器和锚节节点位置误差。 由于原始问题是非凸的,因此通过平衡范围测量的两侧,我们将其转换为基于辅助变量的半定编程。 仿真结果表明,在均方根误差(RMSE)方面,所提出的算法优于存在的工作。

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