摘要
采用自适应加权数据融合算法,利用测量数据实时计算加权值,再利用加权值对测量数据进行融合处理,得到关于目标的状态估计.该算法充分反映测量数据的实时变化,实现最优加权因子的动态在线调整,融合结果的误差方差小于任一单一测量设备的测量误差方差.该方法采用递推计算,计算量小,具有较好的快速性,适合于实时计算应用,能够为设备选优、实时决策提供准确可靠的依据,较好的满足工程实际需要.
Adaptive weighted data fusion algorithm is used to weight measurement data real-timely, and then the obtained weights are used in measurement data fusion to evaluate the target status. The change of measurement data can be reflected real-timely by using this algorithm, and the weighting factor can be adjusted and optimized online in real time. The results show that the error square of the fusion result is lower than the error square of any single measurement equipment. This algorithm adopts recursion calcu- lation, featuring less calculation and higher speed applicable for real-time calculation. It can better satis- fy engineering requirements in providing accurate and reliable data for equipment selection and decision making.
出处
《战术导弹技术》
2011年第3期109-111,共3页
Tactical Missile Technology
关键词
数据融合
自适应加权
均方差
data fusion
adaptive weight
mean square deviation
