基于总体最小二乘的无人机实时目标定位方法  

A Real-Time Target Localization Approach for UAVs Based on Total Least Squares Method

作　　者：郑锴 郑献民 殷少锋 刘彬 林宏旭 ZHENG Kai;ZHENG Xian-min;YIN Shao-feng;LIU Bin;LIN Hong-xu(No.32146 Unit of PLA Jiaozuo 454000,China;No.71282 Unit of PLA Baoding 071000,China)

机构地区：[1]中国人民解放军32146部队,河南焦作454000 [2]中国人民解放军71282部队,河北保定071000

出　　处：《电光与控制》2019年第10期26-29,共4页Electronics Optics & Control

基　　金：装备军内科研重点项目

摘　　要：针对侦察无人机高精度多目标实时定位的应用需求,提出了一种基于总体最小二乘的目标定位方法。将非线性多点目标定位模型线性化,构造系数矩阵和观测向量的增广矩阵,并采用奇异值分解法解算出跟踪目标的坐标;综合运用基于成像模型的共线定位方法,并通过平差计算获得高精度的多目标位置信息。实际飞行测试结果表明,该定位方法能够提高目标定位精度,具备多目标实时定位功能,且该方法易于实现、可靠性较高,具有较大的应用潜力。In order to realize real-time multi-target localization with high accuracy a target localization method based on total least squares method is proposed.The nonlinear multi-point target localization model is linearized the extended matrix of coefficient matrix and observing vector is built and the localization result is calculated by using singular value decomposition theory.Then the affine transform model method is adopted to realize multi-target localization and the accurate localization information is obtained by adjustment calculation.Flight experiments show that the proposed approach can improve the localization accuracy and realize the real-time multi-target localization.This approach is easy to implement has high reliability and considerable application prospect.

关 键 词：无人机 总体最小二乘 目标定位 奇异值分解 

分 类 号：V279[航空宇航科学与技术—飞行器设计]