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LOW-COST MEMS SENSORS FOR AIDED-GNSS PROCESSING ENHANCEMENT

机译:用于辅助GNSS加工增强的低成本MEMS传感器

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摘要

The improvement of the acquisition of GNSS signals using low cost MEMS type sensors is studied. The particular case of GPS is more specifically addressed without loss of generality. The sensors as well as the assistance provided to the GPS receivers used for testing the integration algorithm are described in details. The sensors assembly is composed of a triad of accelerometers, a triad of gyrometer as well as a triad of magnetometers. The fusion of their respective measurements provides a reliable long term estimate of the user's attitude. The user may be whether a pedestrian or a land vehicle. The integration strategy of the sensors with the GPS acquisition core is performed at the user's Doppler search level. In the pedestrian case, results show that the user's Doppler uncertainty can be reduced to several Hertz, which tremendously decreases the frequency search processing time, especially in the case of the acquisition of weak signals that involves the use of long coherent integration times. In the land vehicle navigation case, the improvement is obvious as well but only as soon as two satellites are acquired. The user's Doppler prediction availability decreases and depends on the geometry of the satellites with respect to the user's heading.
机译:研究了使用低成本MEMS型传感器对GNSS信号采集的改进。在不失一般性的情况下,可以更具体地解决GPS的特殊情况。详细介绍了传感器以及提供给GPS接收机的辅助工具,用于测试集成算法。传感器组件由三重加速度计,三重陀螺仪以及三重磁力计组成。它们各自测量值的融合为用户的态度提供了可靠的长期估计。用户可以是行人还是陆地车辆。传感器与GPS采集核心的集成策略是在用户的多普勒搜索级别上执行的。在行人情况下,结果表明,用户的多普勒不确定性可以减小到几赫兹,这极大地减少了频率搜索处理时间,尤其是在涉及使用长相干积分时间的弱信号采集的情况下。在陆地车辆导航的情况下,这种改进也是显而易见的,但是只有在获得两颗卫星后才能进行。用户的多普勒预测可用性降低,并且取决于相对于用户航向的卫星几何形状。

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