摘要
异步航迹融合是多传感器跟踪系统的一个重要问题。针对实际应用中多传感器采样速率的不同步性,提出了多传感器系统存在反馈情况下异步多传感器的极大验后(MAP)航迹融合估计算法,分析表明,同步多传感器MAP航迹融合算法是该算法的一个特例;仿真计算也表明,该融合算法具有良好的估计精度。
In the multi-sensor track systems, communication delays usually exist between sensor platform and track fusion center due to the different sampling rates. So the local estimation of every sensor doesn＇t arrive at the fusion center at the same time. The fusion center should fuse those asynchronous correlated tracks in order to improve track performance, So the MAP fusion algorithm of asynchronous multi-sensor systems with feedback is presented based on the asynchronous multi-sensor. As an example, It is shown that the MAP fusion of synchronous multi-sensor is a special case of this new algorithm. The simulation results show that the algorithm is effective.
出处
《青岛大学学报（工程技术版）》
CAS
2007年第3期54-59,共6页
Journal of Qingdao University(Engineering & Technology Edition)
关键词
融合估计
异步多传感器
极大验后(MAP)
track fusion
asynchronous multi-sensor
maximum posterior estimation（MAP）
