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Evolutionary placement of continuously operating reference stations of network Real-Time Kinematic

机译:网络实时运动的连续运行参考站的进化布局

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摘要

Network RTK (Real-Time Kinematic) is a technology that is based on GPS (Global Positioning System) or more generally on GNSS (Global Navigation Satellite System) observations to achieve centimeter-level accuracy positioning in real time. It is enabled by a network of Continuously Operating Reference Stations (CORS). CORS placement is an important problem in the design of network RTK as it directly affects not only the installation and running costs of the network RTK, but also the Quality of Service (QoS) provided by the network RTK. In our preliminary research on the CORS placement, we proposed a polynomial heuristic algorithm for a so-called location-based CORS placement problem. From a computational point of view, the location-based CORS placement is a largescale combinatorial optimization problem. Thus, although the heuristic algorithm is efficient in computation time it may not be able to find an optimal or near optimal solution. Aiming at improving the quality of solutions, this paper proposes a repairing genetic algorithm (RGA) for the location-based CORS placement problem. The RGA has been implemented and compared to the heuristic algorithm by experiments. Experimental results have shown that the RGA produces better quality of solutions than the heuristic algorithm.
机译:网络RTK(实时运动)是一项基于GPS(全球定位系统)或更普遍地基于GNSS(全球导航卫星系统)观测值的技术,可以实时实现厘米级的精度定位。它由连续运行参考站(CORS)网络启用。 CORS放置是网络RTK设计中的一个重要问题,因为它不仅直接影响网络RTK的安装和运行成本,而且直接影响网络RTK提供的服务质量(QoS)。在我们对CORS放置的初步研究中,我们针对所谓的基于位置的CORS放置问题提出了多项式启发式算法。从计算的角度来看,基于位置的CORS放置是一个大规模的组合优化问题。因此,尽管启发式算法在计算时间上是有效的,但它可能无法找到最佳或接近最佳的解决方案。为了提高解决方案的质量,本文针对基于位置的CORS放置问题提出了一种修复遗传算法(RGA)。已经实现了RGA,并通过实验将其与启发式算法进行了比较。实验结果表明,与启发式算法相比,RGA产生的解决方案质量更高。

著录项

  • 作者

    Tang Maolin;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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