粒子滤波算法在静止目标定位时的数学建模

Mathematical modeling for static target location with particle filter

粒子滤波算法在目标定位中主要用于目标跟踪,对静止目标定位的应用研究鲜有报道,尤其是针对具体的无线电移动监测车,已知数据只有车的位置坐标和目标示向度情况,数学模型的建立还没有文献可供参考。在熟悉粒子滤波机理的基础上,参考粒子滤波在目标跟踪时建立数学模型的方法,结合无线电移动监测车对静止目标定位的实际需要,建立粒子滤波算法在静止目标定位时的数学模型,模型中融合分类和择优的措施以提高定位精度。最后在LabVIEW平台下对所建立的模型进行仿真实验,结果表明所建立的模型准确可行。

Particle filter was used mostly in target tracking of position, but there were few reports about static target location especially the radio monitoring vehicles that their known data were only position coordinates of vehicles and azimuths of target. There are no corresponding reference documents to establish mathematical model. Based on particle filtering theory and referencing the method of mathematical modeling aim at target tracking and combined with the actual need of radio monitoring vehicles for static target location, established mathematical model aim at static target. This model combines classification and preferential measure to improve the location accuracy. Finally, the established model is simulated on LabVIEW and the results show that the modeling is accurate and feasible.