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INFORMATION FUSION IN A MULTI-BAND GPS RECEIVER

机译:多频带GPS接收器中的信息融合

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The works presented in this paper deals with the design of a tracking fusion filter for the future multi-carrier G.P.S signal. The estimation of the distance and speed between the satellite and the G.P.S receiver is realized with a Kalman track fusion algorithm. In this system, inspired from the modified track-to-track algorithm, the observations are merged with a measurement fusion algorithm and the estimates are fused with a state vector fusion Kalman filter. This hybrid model can fuse the measurement obtained from the three frequencies of the future G.P.S, system. It can also fuse the state vectors that describe distances and speed which are supposed to come from different sensors. The simulation results obtained on synthetic data show the feasibility of the method and the contribution of the fusion over the localization accuracy.
机译:本文提出的作品涉及用于未来多载波G.P.S信号的跟踪融合滤波器的设计。用卡尔曼轨道融合算法实现卫星和G.P.S接收器之间的距离和速度的估计。在该系统中,从修改的轨道跟踪算法的启发,观察结果与测量融合算法合并,估计与状态矢量融合卡尔曼滤波器融合。该混合模型可以融合从未来G.P.S,系统的三个频率获得的测量。它还可以熔化描述应该来自不同传感器的距离和速度的状态向量。合成数据获得的仿真结果显示了该方法的可行性和融合对本地化精度的贡献。

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