Method of judging advancing direction through geomagnetic data
A technology of traveling direction and magnetometer data, which is applied in directions such as navigation, ground navigation, and measurement devices through speed/acceleration measurement, which can solve the problems of easy interference, large heading angle fluctuation, and angle deviation of the magnetometer of mobile devices. Achieve the effect of avoiding false accumulation and divergence of attitude angle, low cost, and avoiding deadlock of universal joints
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Embodiment 1
[0025] A method for judging the direction of travel through geomagnetic data, characterized in that: the method comprises the following steps:
[0026] a. Perform data processing on the sensor, low-pass filter the data of the three-axis accelerometer and three-axis magnetometer, and filter out the high-frequency noise of the low-precision inertial sensor;
[0027] b. Initialize the quaternion of the rotation matrix;
[0028] c. Read the accelerometer data of the mobile device, perform low-pass filtering and normalization processing, and calculate the compensation component of the accelerometer to the gyroscope;
[0029] d. Read the magnetometer data of the mobile device, perform low-pass filtering and normalization processing, and calculate the fluctuation of the magnetometer data within a certain time window;
[0030] e. Calculate the compensation component of the magnetometer to the gyroscope in combination with the fluctuation of the magnetometer data;
[0031] f. Read th...
Embodiment 2
[0035] a. Sensor data processing: Low-pass filtering is performed on the data of the three-axis accelerometer and three-axis magnetometer to filter out the high-frequency noise of the low-precision inertial sensor.
[0036] b. Initialize the quaternion and align it with the initial coordinate system
[0037] c. Collect three-axis accelerometer data and magnetometer data, fuse them into the attitude quaternion for complementary filtering
[0038] d. Collect the three-axis gyroscope data, combine the above fusion results, and solve the quaternion differential equation
[0039] e. Normalized attitude quaternion
[0040] f. Through the relationship between quaternion and attitude transformation matrix, convert quaternion into Euler angle: pitch angle, roll angle and heading angle
[0041] g. Extract the heading angle, which is the forward direction of pedestrians.
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