基于AUPF的TDOA几何定位跟踪算法研究

Research on TDOA geometric positioning tracking algorithm based on AUPF

使用无源时差(TDOA)定位技术确定无人机等小型辐射源目标的位置是当前研究的热点,针对时差定位算法较为复杂的实际情况,推导了时差双曲线的几何解,并提出了一种基于自适应无迹粒子滤波(AUPF)技术的移动目标定位跟踪方法。通过仿真对该方法在不同场景的应用效果进行了验证,进一步比较分析了算法的定位精度。结果表明,基于自适应无迹粒子滤波的时差几何定位跟踪算法可以在多种情况下较好地拟合出目标真实运动轨迹,实现对运动目标的定位跟踪,同时拥有更低的定位误差和更高的轨迹包容度,使用该方法可以显著提高对非合作移动辐射源目标的位置估计性能。

Determining the position of small radiation source targets such as UAVs using passive time difference of arrival(TDOA)technique is a hot topic of current research.Because of the complexity of implementing the TDOA algorithm in practical situation,this paper derived the geometric solution of TDOA hyperbola,and proposed a moving target location and tracking method based on adaptive unscented particle filter(AUPF)technique.This paper verified the effectiveness of the method through simulation,and further analyzed the positioning accuracy of the algorithm.The results show that the TDOA geometric localization tracking algorithm based on AUPF can better fit the real motion trajectory of the target and achieve the localization tracking of the moving target in a variety of scenarios,with lower localization error and higher trajectory tolerance.This method can significantly improve the position estimation performance of non-cooperative moving radiation source targets.