基于球面模型的单运动平台无源定位方法

Passive location method of single moving platform based on spherical model

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。

Abstract:

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.