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On the singular problem in linear algorithm for the magnetic dipole positioning

机译:关于磁偶极定位线性算法的奇异问题

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Magnetic dipole positioning technique has attracted more and more attention recently, for its increasing applications in medical, traffic, and the tracking of motion objective, because it provides high accuracy and fast velocity. Typically, a nonlinear optimization algorithm is applied to such a problem, but a linear algorithm is preferable for faster, more reliable computation, and lower complexity. We proposed a linear algorithm to determine the 5D dipole's position and orientation parameters. However, there exist several singular problems in the linear algorithm that cause failure computation and discontinuous results. These singular problems are related to 1 or 2 zero orientation parameters, lower than 4 rank of sensing matrix for computation, and singularity in solution vector. In this paper, we present these singular problems and propose some methods to handle them. Simulations were done and results show that by solving these problems, the linear positioning algorithm is much more stable and accurate.
机译:磁性偶极定位技术最近引起了越来越多的关注,因为它在医疗,交通和运动目标的跟踪中增加了应用,因为它提供了高精度和快速的速度。通常,非线性优化算法被应用于这样的问题,但线性算法是优选的更快,更可靠的计算,和更低的复杂度。我们提出了一种线性算法来确定5D偶极的位置和方向参数。然而,在线性算法中存在几个奇异问题,导致失败计算和不连续结果。这些奇异问题与1或2个零取向参数有关,低于4个测量矩阵的计算,以及溶液向量中的奇点。在本文中,我们展示了这些奇异问题,并提出了一些方法来处理它们。仿真完成并结果表明,通过解决这些问题,线性定位算法更稳定和准确。

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