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IMU-BASED UWB POSITIONING ABNORMAL VALUE PROCESSING METHOD

机译:基于IMU的UWB定位异常值处理方法

摘要

An IMU-based uwb positioning abnormal value processing method, comprising the following steps: S1, obtaining IMU data of an unmanned aerial vehicle; S2, fusing an accelerometer and a gyroscope, and calculating a pose angle of the unmanned aerial vehicle; S3, calculating accelerations of X, Y and Z axes and displacements on the X, Y and Z axes within ∆t time according to the pose angle of the unmanned aerial vehicle obtained in step S2, and estimating a displacement value Q of the unmanned aerial vehicle; S4, carrying out anomaly detection on a uwb measurement value according to the displacement value Q obtained in step S3 and distance data of a uwb sensor, and if the uwb measurement value is abnormal, proceeding to step S5; and S5, performing data fusion on the abnormal uwb measurement value, and correcting the uwb measurement value. According to the method, the problems of inaccurate abnormal value determination, low abnormal value correction precision and the like in the existing original data preprocessing process are solved, and the measurement hardware data accuracy is improved. Moreover, there is no need to additionally provide additional hardware devices, the stability of measurement data of the uwb sensor in a complex environment is enhanced, effective and accurate measurement output data is provided for subsequent uwb positioning calculation, and the stability, rapidity and real-time performance of uwb positioning are improved.
机译:基于IMU的UWB定位异常值处理方法,包括以下步骤:S1,获得无人驾驶飞行器的IMU数据; S2,融合加速度计和陀螺仪,并计算无人驾驶飞行器的姿势角度;根据在步骤S2中获得的无人空中车辆的姿势角度,计算X,Y和Z轴和X,Y和Z轴的加速度,并在步骤S2中获得的姿势角度计算x,y和z轴的加速度,并估计无人驾驶空中的位移值q车辆; S4,在步骤S3中获得的位移值Q和UWB传感器的距离数据中,在UWB测量值上进行异常检测,并且如果UWB测量值异常,则进入步骤S5;和S5,对异常UWB测量值进行数据融合,校正UWB测量值。根据该方法,解决了异常值确定,在现有的原始数据预处理过程中不准确的异常值确定,低异常值校正精度等的问题,提高了测量硬件数据精度。此外,不需要另外提供额外的硬件设备,提高了UWB传感器在复杂环境中的测量数据的稳定性是增强的,用于随后的UWB定位计算提供了有效和准确的测量输出数据,以及稳定性,快速性和真实 - 改善了UWB定位的时间性能。

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