GPS/INS位置组合输出校正Matlab仿真 文件说明： s_GPS_INS_position_sp_demo.m 组合主文件 kalman_GPS_INS_position_sp_NFb.m 卡尔曼滤波程序 ode500.mat 飞机飞行轨迹与INS输出数据 将三个文件放到同一个文件夹中，运行主文件即可。 希望对此方向的初学者有所帮助。 另附仿真结果。说明：仿真结果用的数据文件时间为3h，附的数据文件时间为500s。

组合导航 卡尔曼滤波实现 卡尔曼，适合做组合导航的研究生或者本科生使用。

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

完成卫导与惯导组合导航，基于非线性卡尔曼滤波算法，