摘要
提出了先对每采样公共周期内毫米波数个观测值采用最小二乘法得出周期末时刻值,再对所有周期末时刻值进行卡尔曼滤波并取最新周期末时刻估计值;考虑图像处理时间为一个周期的时间,输出滞后,提出了将处理结果补偿这段时间毫米波卡尔曼滤波估计值的增量,再进行两传感器实时同步状态融合,每周期融合时刻比以往融合方案中所选的提前了一个周期的时间,实现了导引头实时跟踪目标机动角速度。
The new nonsynchronous fusion method is putted forward that cycle tip data is fetched by the least squares algorithm to MMW s troop of date in commonality sample cycle,and then a troop of data of every cycle tip data is filtered by Kalman filter to fetch the last cycle tip s estimative data.Considering the longer image-processing time and the output results lagged the real,it is putted forward that the processed results are offseted by the radar measuring angle variety in the time of the image-processing,th...
出处
《弹箭与制导学报》
CSCD
北大核心
2006年第S1期201-204,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
复合寻的
融合跟踪
图像处理滞后补偿
实时状态融合
combined seeking guidance
fusion tracking
IR Image Preprocessing lag offset
real-time state estimate