摘要
由于雷达等传感器测量数据中的误差是时变的,如果没有及时对传感器测量误差参数进行估计和补偿,则会影响测量数据的精度,导致后续多传感器数据的关联正确率和融合定位精度降低.针对上述问题,文中提出了基于样本数据统计的传感器误差标校及运用方法,能利用传感器的历史测量数据估计不同网格扇区分布内的系统误差和误差椭圆参数,解决了传感器测量数据误差参数的快速标校问题.
Since the errors in the measurement data of sensors such as radar are time-varying,if the measurement error parameters of sensors are not estimated and compensated in time,the accuracy of the measurement data will be greatly deteriorated,and then resulting in a decrease in the accuracy of the subsequent multi-sensor data association.To solve the above problems,a method of sensor error calibration and application based on sample data statistics is proposed,which can estimate the system error and error ellipse parameters in different grid sector distribution by using the historical measurement data of the sensor,as a result,the problem of fast calibration of sensor measurement data error parameters are solved effectively.
作者
刘敬蜀
刘旭波
李少猛
LIU Jingshu;LIU Xubo;LI Shaomeng(Unit 91977,Beijing 102200,China)
出处
《移动信息》
2025年第2期43-45,共3页
Mobile Information
关键词
误差标校
系统误差
误差椭圆
网格分布
Error calibration
System error
Error ellipse
Grid distribution
