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InertialNavigation
- 捷联导航相关知识，陀螺，及速度及惯性敏感器件和测试、补偿标定技术以及捷联系统算法的相关知识-Strapdown navigation knowledge, gyro, and speed and inertia-sensitive devices and tests, calibration and compensation algorithms SINS knowledge
degital
- 本程序实现轨迹生成。基于的原理是飞行器位置和姿态解耦，对其进行独立设计，通过反解出惯性器件信息，从而用于导航。-The program trajectory generation. Based on the principle of the aircraft position and attitude decoupling its independent design, the inverse solution inertial devices used for navigation.
Inertial-sensor-development
- 随着GPS性能的不断完善，应用越来越广泛，但GPS系统易受到外界环境影响，而传统的惯导系统也具有误差随时间积累的缺陷，因此GPS/INS组合方式因其互补性强已经成为实现导航的重要方式。这种组合方式能够确保在采用较廉价的惯性设备的情况下，也能获得较好的导航效果。-With the constant improvement of the GPS performance, more and more widely, but the GPS system vulnerable to external e
Strong-tracking-filter
- 基于强跟踪滤波算法的惯性加GPS组合导航matlab仿真程序-Strong tracking filter algorithm based IMU+ GPS integrated navigation matlab simulation program
SINS-algorithm
- 运用四元数方法进行捷联惯性系统的姿态解算，并由加速度计的数据和陀螺的数据计算导航参数-The four element method for strapdown inertial navigation system of the attitude calculation, and the accelerometer and gyroscope data data computation of navigation parameters
ins-gps
- 惯性卫星组合导航 输入惯导，gps数据输出导航结果-INS/GPS integrated navigation
gps2ins
- INS-GPS 惯性-天文组合导航 这个导航算法基于MATLAB环境，需要有惯性、天文的测量数据，最后结果是三个姿态角，以及一些误差信息。-Inertia- Astro Navigation I completed my graduation this design so that
EKF
- 可实现光流、惯性、地磁组合导航的扩展卡尔曼滤波算法(This program can realize the integration if optical flow/INS/magnetic.)
Software
- GNSS与惯性及多传感器组合导航系统原理相关代码编程——matlab(GNSS and inertial and multi-sensor integrated navigation system principle code programming - matlab)
CKFinNavigation
- 运用基于球径容积准则的CKF对惯性器件输出数据和GPS数据尽心融合处理，达到组合导航定位的目的(CKF based on spherical diameter volume criterion is used to fuse the output data of inertial devices and GPS data to achieve the goal of integrated navigation and positioning.)
惯导代码
- 捷联惯导matlab程序代码，可直接运行计算位置速度和姿态(Matlab program code of strapdown inertial navigation system, which can calculate position velocity and attitude directly)
惯导数据产生
- 针对惯性导航仿真前提需要加速度计和陀螺的数据，此程序用来产生IMU数据