对GPS/SINS组合导航的工作原理和模型建立进行详细的分析,设置了两个传感器。提出一种基于信息融 合的导航参数最优估计滤波方法。通过计算机仿真说明该方法可提高导航系统的计算精度和速度,有较好的容错性和 环境适应性,具有实际使用价值

GPS与INS组合导航理论、捷联惯导介绍。包括INS/GPS组合导航系统数学仿真分析，捷联惯导数学模型及惯导解算原理，组合导航、信息融合与滤波。另外还有相关验证代码。（matlab程序）

Matlab仿真程序，用于INS/GPS模拟和仿真。GPS和INS组合导航Matlab仿真源码（包含实验数据），下载可直接运行

关于GPS和INS各自的原理以及组合导航的比较详尽的权威英文书籍

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组合导航，GPS/INS,MATLAB程序

这份matlab代码是下载后可以直接运行的，包含了仿真数据，GPS与INS组合导航，亲测可用！

Mohinder S. Grewal的第三版Global Navigation Satellite Systems, Inertial Navigation, and Integration [ISBN: 978-1118447000]。 An updated guide to GNSS, and INS, and solutions to real-world GNSS/INS problems with Kalman filtering Written by recognized authorities in the field, this third edition of a landmark work provides engineers, computer scientists, and others with a working familiarity of the theory and contemporary applications of Global Navigation Satellite Systems (GNSS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GNSS-aided INS (tightly and loosely coupled), modeling of gyros and accelerometers, and SBAS and GBAS. Drawing upon their many years of experience with GNSS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references. The Third Edition includes: Updates on the upgrades in existing GNSS and other systems currently under development Expanded coverage of basic principles of antenna design and practical antenna design solutions Expanded coverage of basic principles of receiver design and an update of the foundations for code and carrier acquisition and tracking within a GNSS receiver Expanded coverage of inertial navigation, its history, its technology, and the mathematical models and methods used in its implementation Derivations of dynamic models for the propagation of inertial navigation errors, including the effects of drifting sensor compensation parameters Greatly expanded coverage of GNSS/INS integration, including derivation of a u