红外成像导引头的小机动目标状态估计器设计

Design for State Estimator of Lowly Maneuvering Targets Based on Infrared Imaging Seeker

研究机动目标优化控制问题,针对红外导引头的情况,设计了目标状态估计器。在提高制导精度的前提下,采用适于小机动目标的singer统计模型对目标机动建模。由于目标状态模型是线性的,测量模型是非线性的情况,使用修正增益推广Kalman滤波,减少了非线性误差。对测量噪声方差进行在线估计,实现了自适应滤波,提高了估计精度。在目标小机动情况下,对所设计的估计器进行仿真,结果表明,误差收敛速度快,且精度较高。证明目标状态估计器适于只测视线角速度的导弹拦截小机动目标。

The problem of maneuvering target optimal control was studied,and target state estimator was designed based on the infrared imaging seeker.Based on an improvement of guidance precision,the singer statistical model of lowly maneuvering target was built.Because target state model is linear and measurement model is nonlinear,modified gain extended kalman filter was used in order to decrease nonlinear error.Adaptive filter was achieved by an online estimate of measurement noise variance,which improved estimate precision of target state estimator.For lowly maneuvering targets,simulation results show that the estimator＇s errors can converge rapidly and keep small.So the target state estimator fits missile for lowly maneuvering targets from bearing-rate-only measurements.