基于修正导航数据的机载单站无源定位精度提升方法

Method for improving accuracy of airborne single station passive location based on modified navigation data

针对风扰动引起的无人机飞行姿态变化导致单站无源定位误差增大的问题,提出了一种基于修正导航数据的机载单站无源定位精度提升方法.该方法通过建立姿态扰动条件下的无人机-雷达空间角解析数学模型,实现基于导航数据的快速姿态补偿,从而提升定位精度;考虑到导航数据存在更新速率低、与雷达数据不匹配的问题,采用最小二乘滤波法对导航数据进行修正,进一步提高了补偿方法的实用性.仿真结果表明,本文方法对定位精度提升具有较好效果,具有工程应用价值.

In order to solve the problem that the change of UAV flight attitude caused by wind disturbance results in the increase of single station passive location error, this paper proposes an airborne single station passive location accuracy improvement method based on modified navigation data. This method realizes fast attitude compensation based on navigation data by establishing a mathematical model of UAV-radar spatial angle analysis under the condition of attitude disturbance, so as to improve the positioning accuracy. Considering the low updating rate of navigation data and the mismatch between navigation data and radar data, the paper uses the least square filtering method to modify the navigation data, which further improves the practicability of the compensation method. The simulation results show that the proposed method has good effect on the improvement of positioning accuracy and has engineering application value.