一种使用数字地面电视信号的单频网络无源定位系统

Jun Yan, Lenan Wu
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引用次数: 19

摘要

在这项工作中,提出了一种使用数字地面信号的单频网络无源定位系统。提出了一种需要与固定频率相关的时延估计方法。其思想是首先对最近的基站(BS)的发射副本进行在线重建和更新,然后使用该信号副本与接收信号样本进行相关。提出了一种结合k均值聚类算法的时延提取方法。提取每个簇的最小值作为每个BS的时延。BS识别可以建模为一个数据关联问题。利用一种不需要多少统计知识的新门来解决到达时间测量的不确定度。同时,针对连续数据流,提出了数据关联策略。移动站定位被表述为一个优化问题,并通过搜索处理来解决。通过仿真研究,评估了系统在不同场景下的性能。结果表明,该方法具有良好的鲁棒性和高性能。版权所有©2011 John Wiley & Sons, Ltd
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A passive location system for single frequency networks using digital terrestrial TV signals
In this work, a passive location system for single frequency networks using digital terrestrial signals is proposed. A cross-correlation method that requires a correlation with fixed frequency was introduced for time delay estimation. The idea is first online reconstruction and update of the transmitted copy of the nearest base station (BS), and then uses this signal copy for correlation with the received signal samples. A time delay extraction method combined with K-mean clustering algorithm is developed. The minimum value of each cluster is extracted as the time delay of each BS. The BS identification can be modelled as a data association problem. A new gate that requires little statistical knowledge was utilised to solve time-of-arrival measurement uncertainty. Meanwhile, the data association strategy is also developed for successive data stream. Mobile station location is formulated as an optimisation problem and solved by a search processing. Simulations study was conducted to evaluate the system performance for different scenarios. The results demonstrate its robustness and high performance. Copyright © 2011 John Wiley & Sons, Ltd.
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