基于最小二乘算法雷达定位误差配准方法研究  

Research on Radar Location Error Registration Method Based on Least Squares Algorithm

作　　者：裴杨 王硕 PEI Yang;WANG Shuo(No.92941 Troops of PLA,Huludao 125000)

机构地区：[1]92941部队,葫芦岛125000

出　　处：《舰船电子工程》2023年第2期64-68,共5页Ship Electronic Engineering

摘　　要：针对无人机载三坐标雷达对陆目标定位和跟踪过程中,测量设备的角度反馈受无人机姿态感知的影响,会对目标的角度和距离测量产生误差的问题,论文通过误差分析和算法对比,提出采用最小二乘滤波对无人机非线性姿态误差进行估计和修正,对测量结果进行收敛和修正。仿真结果表明,最小二乘滤波对精度有限的非线性系统量测误差能够达到较好的收敛效果,但如果要得到更高的定位精度,仍需要采用其他方式。Aiming at the problem that the angle feedback of the measure equipment is affected by the attitude perception of the UAV,the angle and the distance measurement error will be produced in the process of target position and tracking by the UAV-borne three-dimension radar.Through the error analysis and the algorithm comparison,the least square filter is proposed for the estimation and correction of nonlinear attitude error of the UAV and the measurement results in this paper.The simulation result shows that the least square filter can achieve the better convergence effect on the measurement error of nonlinear system with limited precision.If it needs the better positioning accuracy,the other method is still necessary.

关 键 词：最小二乘滤波 卡尔曼滤波 三坐标雷达 误差配准 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]