基于散射体信息的单站内三角形质心定位算法

Inner triangle centroid positioning algorithm based on scatterer information for single station

针对单站定位精度不高的问题,提出基于散射体信息的单站内三角形质心定位算法。首先运用合成运动的扩展卡尔曼滤波算法对圆轨迹拟合法所估计出的散射体位置与散射体到达目标位置的距离进行优化;然后将所估计出的散射体作为虚拟观测站,再根据引入可信度算子的内三角形质心定位算法削弱测距极大误差对定位结果的影响;最后即可定位出目标位置。仿真结果表明,该算法能够有效提高定位精度,算法复杂度小且具有良好的稳定性。

An inner triangle centroid positioning algorithm based on scatterer information is proposed for the single station to solve the problem of low accuracy of the single station positioning.The extended Kalman filtering algorithm based on the syn-thetic motion is adopted to optimize the scatterer position and the distance from the scatterer to target position,which are esti-mated by the circular trajectory fitting method.Then,the estimated scatterer is acted as a virtual observation station,and the ef-fect of the maximum distance measurement error on positioning results is attenuated according to the inner triangle centroid posi-tioning algorithm based on the credibility operator,so as to locate the position of the target.The simulation results show that the algorithm can effectively improve the positioning accuracy,and has small complexity and good stability.