Anchor-free TDOA self-localization
Anchor-free TDOA self-localization
复制标题
无锚点 TDOA 自定位
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
L. Reindl
中科院分区：
文献类型：
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作者：
Johannes Wendeberg;Fabian Höflinger;C. Schindelhauer;L. Reindl
我们提出了一种在通信网络中定位无源接收器节点的方法。在我们的设置中，节点的位置是未知的。唯一的信息来源是接收到环境声音或超声波信号的时间。离散信号出现的位置和时间未知，但可以区分。接收器的时钟是同步的，因此可以计算信号的到达时间差（TDOA）。目标是确定所有接收器节点的相对位置以及隐式环境信号的位置和时间。我们的新颖方法，即迭代圆锥对齐算法，通过物理弹簧质量模拟迭代解决到达时间差 (TDOA) 的非线性优化问题。在这里，我们的算法比非线性最小二乘方法表现出更小的陷入局部最小值的趋势。该方法在大量模拟和现实环境中进行了测试，我们在其中演示和评估移动超声信标的跟踪系统，而无需最初校准接收器的位置。使用我们的方法，我们以厘米范围内的精度估计移动模型火车的轨迹。
We present an approach for the localization of passive receiver nodes in a communication network. In our settings the positions of the nodes are unknown. The only source of information is the time when environmental sound or ultrasound signals are received. The discrete signals occur at unknown positions and times, but they can be distinguished. The clocks of the receivers are synchronized, so the time differences of arrival (TDOA) of the signals can be computed. The goal is to determine the relative positions of all receiver nodes and implicitly the positions and times of the environmental signals. Our novel approach, the Iterative Cone Alignment algorithm, solves iteratively a non-linear optimization problem of time differences of arrival (TDOA) by a physical spring-mass simulation. Here, our algorithm shows a smaller tendency to get stuck in local minima than a non-linear least-squares approach. The approach is tested in numerous simulations and in a real-world setting where we demonstrate and evaluate a tracking system for a moving ultrasound beacon without the need to initially calibrate the positions of the receivers. Using our approach we estimate the trajectory of a moving model train with a precision in the range of centimeters.