基于融合算法的机场场面监视方案研究  

Research on airport scene surveillance scheme based on fusion algorithm

作　　者：徐扬[1] 刘建良[1] 杨一璜 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《传感器与微系统》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)

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.

关 键 词：机场场面 监视 混杂系统 融合算法 跟踪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]