论文标题
传感器网络TDOA自校准：2D复杂性分析和解决方案
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions
论文作者
论文摘要
给定一个接收器和发射器网络，确定其从测量伪内确定位置的过程称为网络自我校准。在本文中，我们考虑了具有同步接收器但不同步的发射器和相应的校准技术的2D网络，称为“到达时间差”（TDOA）技术。尽管以前的工作，TDOA自我校准在计算上具有挑战性。迭代算法对初始化非常敏感，从而导致收敛问题。在本文中，我们提出了一种新颖的方法，该方法为两个以前未解决的情况提供了代数解决方案。我们还证明，我们的求解器为非线性优化算法产生了出色的初始值，从而使噪声的完整管道可靠。
Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.
