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Localization of UAV in Urban Scenario Using Multipath Exploiting TDoA Fingerprints

机译:使用多路径利用TDOA指纹的城市情景中UAV的本地化

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This paper presents a localization procedure to locate UAV in an urban scenario and improve the Time Difference of Arrival (TDoA) performance in Non-line of Sight (NLoS) situation. The idea is to use ray-tracing simulation and Time Difference of Arrival (TDoA) to build a geographic information database that reproduces the "site-specific" multipath patterns that enhance the position estimation performance in multipath scenarios. The conventional emitter location systems based on TDoA sensors mitigate errors trying to avoid NLoS measurements, while the proposed method, uses the multipath information to extract the time of arrival characteristic from the environment. A measurement campaign was done to validate the technique and showed an enhancement in the localization processing, depending on the precision of the buildings and obstacles information.
机译:本文介绍了定位过程,以在城市情景中定位无人机,并在非视线(NLOS)情况下提高到达(TDOA)性能的时间差。该想法是使用射线跟踪模拟和到达时的时间差(TDOA)来构建地理信息数据库,可再现增强多路径方案中的位置估计性能的“站点特定的”多径模式。基于TDOA传感器的传统发射器定位系统减轻了试图避免NLOS测量的错误,而该方法使用多径信息来提取来自环境的到达特征。根据建筑物和障碍信息的精度,完成了测量活动以验证该技术并在本地化处理中显示了增强。

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