Tightly coupled GPS/INS integration for differential carrier phase navigation systems using decentralized estimation

S. Langel, S. Khanafseh, Fang-Cheng Chan, B. Pervan
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引用次数: 14

Abstract

Much research has been conducted in the area of tightly coupled GPS/INS, and this work has resulted in a vast array of navigation algorithms. A common theme of these methods is that they operate on low rate GPS ranging measurements of code and carrier phase together with high rate raw inertial measurements, such as specific force and inertial angular velocity. For stand-alone (i.e., non-differential) GPS navigation applications, high data rate INS outputs can be properly accommodated with today's computer processors. For relative (i.e., differential) GPS navigation applications, the optimal analogous solution would be for the mobile user to have access to the reference station's raw inertial measurements along with its own. However, due to communication bandwidth limitations, it is generally not possible to broadcast high data rate inertial navigation data. In response, an alternative tightly-coupled, differential GPS/INS navigation system is developed here using a decentralized Kalman filtering approach, which can operate at manageable broadcast data rates.
基于分散估计的差分载波相位导航系统紧密耦合GPS/INS集成
在GPS/INS紧密耦合领域进行了大量的研究,并产生了大量的导航算法。这些方法的一个共同主题是,它们在编码和载波相位的低速率GPS测距测量以及高速率原始惯性测量(如比力和惯性角速度)上运行。对于独立(即非差分)GPS导航应用,高数据速率INS输出可以与当今的计算机处理器适当适应。对于相对(即差分)GPS导航应用,最佳的模拟解决方案是移动用户可以访问参考站的原始惯性测量值以及自己的惯性测量值。然而,由于通信带宽的限制,通常不可能广播高数据速率的惯性导航数据。作为回应,本文采用分散的卡尔曼滤波方法开发了另一种紧密耦合的差分GPS/INS导航系统,该系统可以在可管理的广播数据速率下运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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