Multipath Detection and Mitigation from GNSS Observations Using Antenna Arrays

Mohanad Ahmed, Tarig Ballal, Xing Liu, T. Al-Naffouri
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Abstract

We consider the problem of detecting and mitigating the effect of multipath on GNSS observations. In particular, we focus on carrier-phase observations that are collected at an array of GNSS antennas. We exploit a special antenna array geometry, synchronization among the GNSS receivers, and an attitude estimate provided by an attitude filter or an IMU, to develop a technique to identify the satellite observations that are contaminated with multipath. The proposed technique leverages the antenna geometry to rabidly estimate the attitude parameters for various satellite combinations. Next, a dedicated decision-making algorithm is used to identify the satellite observations affected by multipath. Our simulation results demonstrate the effectiveness of the proposed approach in detecting the occurrence of multipath with high success rates. By rejecting the multipath-affected observations, we show remarkable performance gains when attitude determination is considered as an example application.
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使用天线阵列的GNSS观测的多路径检测和缓解
我们考虑了探测和减轻多径对GNSS观测的影响的问题。我们特别关注在GNSS天线阵列上收集的载波相位观测。我们利用特殊的天线阵列几何形状,GNSS接收机之间的同步,以及姿态滤波器或IMU提供的姿态估计,开发了一种识别被多径污染的卫星观测的技术。该方法利用天线几何特性快速估计各种卫星组合的姿态参数。其次,采用专用决策算法识别受多径影响的卫星观测数据。仿真结果证明了该方法在检测多路径发生方面的有效性和高成功率。通过拒绝多路径影响的观测值,当姿态确定作为示例应用时,我们显示出显著的性能增益。
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