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

机译:磁偶极子定位线性算法中的奇异问题

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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:磁偶极子定位技术由于其高精度和高速度而在医疗,交通和运动目标的跟踪中得到越来越多的应用,因此近年来受到越来越多的关注。通常,将非线性优化算法应用于该问题,但是对于更快,更可靠的计算和较低的复杂度,线性算法是优选的。我们提出了一种线性算法来确定5D偶极子的位置和方向参数。但是,线性算法中存在几个导致故障计算和结果不连续的奇异问题。这些奇异问题与1个或2个零取向参数,低于4个用于计算的感测矩阵等级以及解向量中的奇异性有关。在本文中,我们提出了这些奇异的问题并提出了一些解决方法。进行了仿真,结果表明,通过解决这些问题,线性定位算法更加稳定,准确。

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