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3D Tdoa Problem Solution with Four Receiving Nodes

机译:具有四个接收节点的3D Tdoa问题解决方案

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摘要

Time difference of arrival (TDOA) positioning methods have experienced growing importance over the last few years due to their multiple applications in local positioning systems (LPSs). While five sensors are needed to determine an unequivocal three-dimensional position, systems with four nodes present two different solutions that cannot be discarded according to mathematical standards. In this paper, a new methodology to solve the 3D TDOA problems in a sensor network with four beacons is proposed. A confidence interval, which is defined in this paper as a sphere, is defined to use positioning algorithms with four different nodes. It is proven that the separation between solutions in the four-beacon TDOA problem allows the transformation of the problem into an analogous one in which more receivers are implied due to the geometric properties of the intersection of hyperboloids. The achievement of the distance between solutions needs the application of genetic algorithms in order to find an optimized sensor distribution. Results show that positioning algorithms can be used 96.7% of the time with total security in cases where vehicles travel at less than 25 m/s.
机译:由于到达时间差(TDOA)定位方法在本地定位系统(LPS)中的多种应用,在过去几年中已变得越来越重要。虽然需要五个传感器来确定一个明确的三维位置,但是具有四个节点的系统提供了两种不同的解决方案,这些解决方案无法根据数学标准丢弃。本文提出了一种新的方法来解决具有四个信标的传感器网络中的3D TDOA问题。在本文中定义为球体的置信区间被定义为使用具有四个不同节点的定位算法。事实证明,在四信标TDOA问题中解决方案之间的分离允许将问题转换为类似的问题,其中由于双曲面相交的几何特性而暗示了更多的接收者。解决方案之间距离的实现需要遗传算法的应用,以便找到优化的传感器分布。结果表明,在车辆行驶速度低于25 m / s的情况下,定位算法可以安全地使用96.7%的时间。

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