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基于的matlab导航科学计算库

Home Page: http://hipnuc.com

MATLAB 53.73% M 0.01% Python 11.50% Jupyter Notebook 34.05% Forth 0.71% Objective-C 0.01%

nav_matlab's Introduction

基于的matlab导航科学计算库

  • GPS IMU 经典ESKF融合
  • VRU/AHRS姿态融合算法
  • 捷联惯导速度位置姿态解算例子
  • UWB IMU融合

运行环境: matlab2020a 必须安装 sensor fusion toolbox 和 navigation tool box

需要将\lib及其子目录加入matlab预设目录, 或者运行一下根目录下的init.m

目录 说明
\example\vru_ahrs_test AHRS/IMU测试
\example\allan_test allan方差
\example\calibration_test 加速度计和陀螺校准测试
\example\gps_kalman_test 纯GPS定位,采用卡尔曼滤波定位
\example\ins_test 捷联惯导解算
\example\gps_imu_test 15维ESKF GPS+IMU组合导航
\example\uwb_imu_fusion_test 15维UWB+IMU EKF 紧组合
\example\uwb_test 纯UWB多边定位测试
\example\basic 一些基础函数测试和入门例程(入门推荐先看)
\example\其他未列出目录 试验性质的测试代码,建议不看
\study 自己学习用脚本,包含线性代数/和一些参考书籍书后matlab答案及验证
\lib 存放库文件 或者经过验证过的 公共函数,可靠性较高

其中UWB+IMU 融合和 GPS+IMU融合就是经典的15维误差卡尔曼滤波(EKSF),没有什么论文参考,就是一直用的经典的框架。见参考部分.

有问题欢迎提 git issue 或者加QQ群讨论:

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参考

nav_matlab's People

Contributors

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