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Comparison of message passing algorithms for cooperative localization under NLOS conditions

机译:NLOS条件下用于协作定位的消息传递算法的比较

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For large wireless networks, there is a need for accurate localization in a distributed manner. Several algorithms have been developed in order to achieve this goal. However, comparing different algorithms is hard because of the use of different network topologies and measurement models. In this paper two promising message passing algorithms, called SPAWN and SLEEP, are compared in terms of accuracy, complexity, and network traffic. To enable a fair comparison, several alterations are made to SLEEP resulting in ASLEEP with reduced network traffic and the incorporation of reference nodes. Simulations, using measurement models from real ultra-wideband equipment, show that ASLEEP is able to achieve similar estimation quality as SPAWN at much lower complexity and network traffic.
机译:对于大型无线网络,需要以分布式方式进行精确定位。为了达到这个目的,已经开发了几种算法。但是,由于使用了不同的网络拓扑和测量模型,因此比较不同的算法非常困难。本文在准确性,复杂性和网络流量方面比较了两种有前途的消息传递算法,称为SPAWN和SLEEP。为了进行公平的比较,对SLEEP进行了多种更改,从而使ASLEEP的网络流量减少了,并且合并了参考节点。使用实际超宽带设备的测量模型进行的仿真表明,ASLEEP能够以低得多的复杂度和网络流量实现与SPAWN相似的估计质量。

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