基于修正导航数据的机载单站无源定位精度提升方法
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摘要
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.
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.
引文
[1]高宪军,李洪斌,司博文.单站无源定位的一种改进的粒子滤波算法[J].电子设计工程,2016,24(5):107-109.
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[3]徐步云,杨晓君,侯维君,等.基于M估计的抗野值单站无源定位方法[J].雷达科学与技术,2016,14(6):599-604.
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[6]钟丹星,邓新蒲,周一宇.姿态抖动运动平台LBI无源定位系统的角变化率估计和定位算法研究[J].航空学报,2007,28(4):907-912.
[7]徐瑜,杨绍清,孙牧.最小二乘在目标跟踪中的应用[J].指挥控制与仿真,2007,29(4):41-42.
[8]郑黎明,杏建军,陈子昂,等.Dryden型大气紊流对平流层飞艇能量最优轨迹影响[J].航空学报,2017,38(1):120180-120180-15.
[2]田明辉,冯敏.基于相位差的机载单站无源定位算法[J].太赫兹科学与电子信息学报,2016,14(2):190-194.
[3]徐步云,杨晓君,侯维君,等.基于M估计的抗野值单站无源定位方法[J].雷达科学与技术,2016,14(6):599-604.
[4]田明辉,马敏,李帅.基于相位差变化率的单站目标定位研究[J].雷达科学与技术,2014,12(5):522-526.
[5]刘佳,方宁,谢拥军,等.姿态扰动情况下的目标动态RCS分布特性[J].系统工程与电子技术,2015,37(4):775-781.
[6]钟丹星,邓新蒲,周一宇.姿态抖动运动平台LBI无源定位系统的角变化率估计和定位算法研究[J].航空学报,2007,28(4):907-912.
[7]徐瑜,杨绍清,孙牧.最小二乘在目标跟踪中的应用[J].指挥控制与仿真,2007,29(4):41-42.
[8]郑黎明,杏建军,陈子昂,等.Dryden型大气紊流对平流层飞艇能量最优轨迹影响[J].航空学报,2017,38(1):120180-120180-15.