不同维传感器的状态估计技术

State Estimation Technique for Multi-Sensor with Different Observation Dimension

为改善多传感器系统的状态估计性能,针对各传感器在测量数据联合处理时出现的测量周期不同,导致测量数据不同步的问题,采用数据压缩滤波的方法,使信息同步;由于各测向传感器仅测得目标的方位信息,采用将处理中心的状态估计和预测协方差阵反馈给各测向传感器的数据处理算法,减小各测向传感器局部估计的协方差阵,从而有效地提高系统的估计性能。仿真结果表明,利用提出的方法可使系统达到较好的估计效果。

In order to improve the state estimation performance of multi-sensor system, a data compression filter is presented to synchronize sensor data;a new data process algorithm feeding back state estimation and covariance matrix from process center to all angular sensors is presented for angular sensors merely providing angle position measurement. The simulation resuhs show that the methods discussed in the paper can not only improve state estimation but also greatly improve the estimative performance of local sensors.