Radar dynamic calibration method using unmanned aerial vehicle for positioning and based on error weighting

The invention discloses a radar dynamic calibration method using unmanned aerial vehicle for positioning and based on error weighting, and relates to the technical field of radar calibration, and the method comprises the steps: determining an angle measurement error expression based on a radar equat...

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Bibliographische Detailangaben
Hauptverfasser: YOU LIZHI, WANG ZIHAN, ZHAN WENYAN, WANG PENGXUAN, CHEN JIANPING, WANG DEQI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a radar dynamic calibration method using unmanned aerial vehicle for positioning and based on error weighting, and relates to the technical field of radar calibration, and the method comprises the steps: determining an angle measurement error expression based on a radar equation, and constructing a weight time sequence through combining with a planned flight path of an unmanned aerial vehicle; therefore, according to the magnitude of the random error, the radar observation value is endowed with different weights which are in negative correlation with the measurement error to establish an error weighting method, the radar calibration coefficient is calculated, the randomness of the calibration coefficient can be effectively reduced, and the radar dynamic calibration accuracy based on the unmanned aerial vehicle is improved. 本发明公开了一种利用无人机定位并基于误差加权的雷达动态标校方法,涉及雷达标校技术领域,该方法基于雷达方程确定角度测量误差表达式,结合无人机的规划飞行路径构建得到权重时间序列,从而根据随机误差的大小对雷达观测值赋予不同的与测量误差呈负相关的权重建立误差加权方法,计算出雷达标校系数,可以有效降低标校系数的随机性,提高基于无人机的雷达