摘要
针对单一机场场面监视技术可能出现偏差,提出了多种监视技术并行的方案以提高可靠性。将被监视的移动目标设为线性随机混杂系统,每种监视技术设为一种非理想传感器。所提出的融合算法用于确定每只传感器的权重,并计算精确的位置估计。以针对自由移动质点的跟踪作为仿真实验,实验表明:经过融合算法处理的测量数据能够达到精度要求。
Aiming at the possible deviation of single surveillance technology on airport scene,propose a solution based on multiple surveillance technologies to improve reliability. The moving target is regarded as linear stochastic hybrid system,each surveillance technology is regarded as a non-ideal sensor. The proposed fusion algorithm is used to compute the weight of each sensor and calculate accurate position estimation. The simulation is tracking on free-moving particle,and the data show that the measurement data processed by fusion algorithm can achieve the desired precision.
出处
《传感器与微系统》
CSCD
2018年第2期61-63,共3页
Transducer and Microsystem Technologies
基金
湖南省科学技术厅科技计划资助项目(2013GK3001)
关键词
机场场面
监视
混杂系统
融合算法
跟踪
airport scene
surveillance
hybrid system
fusion algorithm
tracking
