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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Localization algorithms for asynchronous time difference of arrival positioning systems
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Localization algorithms for asynchronous time difference of arrival positioning systems

机译：到达定位系统异步时差的定位算法

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An asynchronous time difference of arrival (ATDOA) positioning system requires no time synchronization among all the anchor and target nodes, which makes it highly practical and can be easily deployed. This paper first presents an ATDOA localization model, and then primarily focuses on two new localization algorithms for the system. The first algorithm is a two-step positioning algorithm that combines semidefinite programming (SDP) with a Taylor series method to achieve global convergence as well as superior estimation accuracy, and the second algorithm is a constrained least-squares method that has the advantage of low complexity and fast convergence while maintaining good performance. In addition, a novel receiver re-selection method is presented to significantly improve estimation accuracy. In this paper, we also derive the Cramer-Rao lower bound (CRLB) of the ATDOA positioning system using a distance-dependent noise variance model, which describes a realistic indoor propagation channel.
机译：异步到达时间差（ATDOA）定位系统不需要所有锚点和目标节点之间的时间同步，这使其非常实用，并且可以轻松部署。本文首先介绍了ATDOA本地化模型，然后主要针对系统的两种新的本地化算法。第一种算法是将半定规划（SDP）与泰勒级数方法相结合的两步定位算法，从而实现了全局收敛性和优越的估计精度;第二种算法是一种受约束的最小二乘法，具有较低的优势。复杂性和快速收敛性，同时保持良好的性能。另外，提出了一种新颖的接收机重选方法以显着提高估计精度。在本文中，我们还使用距离相关的噪声方差模型推导了ATDOA定位系统的Cramer-Rao下界（CRLB），该模型描述了现实的室内传播通道。

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