目标航迹融合空间误差估计与补偿算法研究

A Spatial Bias Estimation and Compensation Algorithm for Target Track Fusion

在机载多源信息融合领域,针对空间量测系统误差对状态估计精度造成的不利影响,提出了一种改进的误差估计与补偿算法。对于数值不变的系统误差,通过最小均方误差参数估计方法可以定量获得量测偏差中的确定性部分;将误差配准与目标航迹估计整合进行,有效提高滤波的精度。仿真结果表明,该改进算法能够有效抑制系统误差的影响。

In the field of airborne multi-sensor data fusionthe sensors'errors in spatial measurement will have adverse effects on state estimation accuracy.To solve the problem,a novel error estimation and compensation algorithm is proposed.The time-invariant errorsi.e.the fixed part of measurement biascan be quantitatively acquired by using the Minimum Mean Square Error(MMSE)based parameter estimation method.Furthermoreerror registration is combined with target track estimationwhich will effectively improve state estimation accuracy.Simulation results show that the improved algorithm can effectively suppress the effects of system errors.