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New Approaches for Accuracy Enhancement of MEMS Based INS Integrated with GPS for Land Vehicles

机译:基于GPS的MEMS准确性提高的新方法

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Vehicle navigation systems often employ an inertial measuring unit (IMU) to complement the Global Positioning System (GPS). The added redundancy of the inertial navigation system (INS) can be invaluable to the end user; and as such, the integration of GPS with inertial sensors has become a standard practice. The relatively high cost of INS has been preventing their use for land vehicle applications. Recently, MEMS-based INS has become commercially available at low cost. Compared to expensive navigational or tactical grade INS, low-cost MEMS-based sensors are more susceptible to long-term and short-term (low and high frequency) errors that present themselves as correlated noise. Signal processing techniques such as, optimal low-pass filtering and wavelet de-noising have been successful at minimizing the shortterm errors, but they have not been able to effectively eliminate the long-term errors mixed with the dynamic motion of the vehicle. The primary objective of this paper is to develop: (1) a novel inertial sensor accuracy
机译:车辆导航系统通常采用惯性测量单元(IMU)来补充全球定位系统(GPS)。惯性导航系统(INS)的额外冗余可以为最终用户提供宝贵的;因此,具有惯性传感器的GPS集成已成为标准的做法。 INS的相对较高的成本已经阻止其用于陆地车辆应用。最近,基于MEMS的INS已经以低成本商购获得。与昂贵的导航或战术等级INS相比,基于低成本的MEMS的传感器更容易受到它们自己作为相关噪声的长期和短期(低频)误差的影响。信号处理技术,例如,最佳的低通滤波和小波脱光在最小化短期误差时已经成功地成功,但是它们没有能够有效地消除与车辆的动态运动混合的长期误差。本文的主要目标是开发:(1)一种新颖的惯性传感器精度

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