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作 者:国辛纯[1,2] 胡亚 杜宇峰[1,2] 赵乾宏 窦修全[1,2] GUO Xinchun;HU Ya;DU Yufeng;ZHAO Qianhong;DOU Xiuquan(The 54th Research Institute of CETC,Shijiazhuang Hebei 050081,China;Hebei Key Laboratory of Electromagnetic Spectrum Cognition and Control,Shijiazhuang Hebei 050081,China;China Satellite Maritime Tracking and Control Department,Jiangyin Jiangsu 214431,China)
机构地区:[1]中国电子科技集团公司第五十四研究所,河北石家庄050081 [2]河北省电磁频谱认知与管控重点实验室,河北石家庄050081 [3]中国卫星海上测控部,江苏江阴214431
出 处:《太赫兹科学与电子信息学报》2024年第10期1127-1132,共6页Journal of Terahertz Science and Electronic Information Technology
基 金:国家自然科学基金资助项目(U20B2071)。
摘 要:受地球曲率影响,传统基于平面直角坐标系的定位模型随着侦测距离的增大,定位误差显著增大,严重影响远距离目标定位跟踪精确度。对此,提出一种基于球面模型的单运动平台定位方法,将平面直角函数方程转换为球面三角函数方程,降低地球曲率误差影响;利用无轨迹卡尔曼滤波(UKF)算法实现复杂非线性观测方程迭代求解及远距离目标高精确度位置估计。仿真试验结果表明,基于球面模型的定位方法具有较高的定位精确度,定位精确度提升0.3%R~0.6%R。Under the influence of earth curvature,the localization error of traditional positioning model based on rectangular plane coordinate system will increase significantly with the detection range increasing,and it seriously affects the positioning and tracking accuracy of long-range targets.This paper proposes a positioning method with single moving platform based on spherical models.It transforms the plane rectangular function equation into the spherical trigonometric function equation to reduce the influence of the earth curvature error.It utilizes the Unscented Kalman Filter(UKF)algorithm to solve the complicated nonlinear observation equation iteratively and realizes high-precision position estimation of long-range targets.Simulation results demonstrate that the proposed method based on spherical models has a higher position accuracy which is increased by 0.3%R~0.6%R.
分 类 号:TN9112[电子电信—通信与信息系统]
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