Augmented-EKF

AEKF is developed based on the navigation algorithm codes of Johns Hopkins University UAV lab

This project is corresponding to the imu_ekf2.cpp,imu_ekf2.hpp file in the Acopter project(https://github.com/liaoguiqiu/Acopter_project.git)

This matlab project can be used for the navigation algorithms simulation before implementation on microprocesser

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
AHRS_EKF_Euler		AHRS_EKF_Euler
AHRS_EKF_Quaternion		AHRS_EKF_Quaternion
AHRS_Feedback		AHRS_Feedback
INS_EKF_Euler		INS_EKF_Euler
INS_EKF_Quaternion		INS_EKF_Quaternion
UavData		UavData
experien_data		experien_data
final_data_process		final_data_process
initial_data_prepross		initial_data_prepross
kf_fuse		kf_fuse
my_data_process		my_data_process
Kalman.m		Kalman.m
README.md		README.md
Untitled.m		Untitled.m
contents.m		contents.m
correlation_of_two_singnal.m		correlation_of_two_singnal.m
correlation_of_two_singnal2.m		correlation_of_two_singnal2.m
correlation_of_two_singnal_long.m		correlation_of_two_singnal_long.m
creat_data.m		creat_data.m
display_uav_estimate_results.m		display_uav_estimate_results.m
generate_uav_sensors_structure.m		generate_uav_sensors_structure.m
inner_product.m		inner_product.m
my_create_H.m		my_create_H.m
my_data.mat		my_data.mat
my_perform_ekf.m		my_perform_ekf.m
my_sensor_data.mat		my_sensor_data.mat
perform_ekf.m		perform_ekf.m
perform_ekf_experienmental.m		perform_ekf_experienmental.m
rollpitchyaw.csv		rollpitchyaw.csv
rotation_examples.m		rotation_examples.m
test.m		test.m
test2.m		test2.m
uav_state_estimation.m		uav_state_estimation.m
加表陀螺误差.fig		加表陀螺误差.fig

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