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多红外目标探测几何定位方法

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针对地面目标实时、精确定位问题,开展了多红外目标探测几何定位方法研究.在离线阶段,生成大量定位数据,利用极端梯度提升树方法构建两红外交叉定位精度模型.在实时定位阶段,首先,文章将三个红外传感器两两组合进行测向交叉定位,计算出每组交叉定位坐标;其次,调用精度模型,通过输入每组红外的基线信息和方位角信息获取对应的红外交叉定位精度;最后,结合交叉定位坐标和对应精度,构建几何求解表达式,利用质心法估计目标位置坐标.验证结果表明,该方法定位结果优于同组中任意交叉定位结果.
Geometric Positioning Method of Multi-infrared Target Detection
Aiming at the problems of real-time and accurate positioning of ground targets,the geometric positioning method of multi-infrared target detection is studied.In the offline stage,mass positioning data is generated,and the Extreme Gradient Boosting method is used to construct two-infrared cross positioning accuracy model.In the real-time positioning stage,firstly,the paper combines three infrared sensors two by two for direction-finding cross positioning,and calculates each group of cross positioning coordinates.Secondly,the accuracy model is called,and the corresponding infrared cross positioning accuracy is obtained by inputting the baseline information and azimuth angle information of each group of infrared.Finally,combined with the cross positioning coordinates and corresponding accuracy,the geometric solution expression is constructed,and the target position coordinates are estimated by the centroid method.The verification results show that the positioning result of this method is better than any cross positioning result in the same group.

infrared sensorgeometric positioningExtreme Gradient Boostingcentroid method

陈慧、隋起胜

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北京信息科技大学,北京 100192

清华大学,北京 100084

红外传感器 几何定位 极端梯度提升树 质心法

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(22)