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ToA-based Iterative Localization in Rich Multipath Channels

机译:在丰富的多路径频道中基于迭代本地化

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Iterative localization is arising as a promising solution to determine the position of a mobile station in a cellular network. We recently showed that in a perfect line-of-sight environment, iterating between the conventional delay estimation and multi-lateration steps allows to approach the performance of the direct localization based on the observation of the received signals. In this paper we extend our iterative localization method to operate in rich multipath environments. Simulation results prove that given some prior knowledge on the power delay profile of the channel, the proposed iterative algorithm is robust to harsh propagation environments and performs very close to the direct localization approach.
机译:迭代定位是作为有希望的解决方案来确定移动台在蜂窝网络中的位置。我们最近表明,在一个完美的视线环境中,在传统的延迟估计和多提升步骤之间迭代允许基于接收信号的观察来接近直接定位的性能。在本文中,我们扩展了我们的迭代本地化方法,以在丰富的多路径环境中运行。仿真结果证明,给定关于信道的电力延迟分布的一些先验知识,所提出的迭代算法对苛刻的传播环境具有鲁棒,并且非常接近直接定位方法。

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