廣義合作目標(biāo)跟蹤的誤差空間估計(jì)方法

提出了廣義合作目標(biāo)的概念及誤差空間估計(jì)方法，提高了光電跟蹤系統(tǒng)的跟蹤精度與平穩(wěn)性。該方法采用引導(dǎo)數(shù)據(jù)與引導(dǎo)誤差描述目標(biāo)的運(yùn)動(dòng)，通過(guò)將目標(biāo)的機(jī)動(dòng)分散到引導(dǎo)數(shù)據(jù)和引導(dǎo)誤差，在目標(biāo)狀態(tài)空間中根據(jù)目標(biāo)的運(yùn)動(dòng)模型進(jìn)行濾波，在誤差空間中根據(jù)引導(dǎo)誤差模型進(jìn)行濾波與預(yù)測(cè)，再進(jìn)行合成得到目標(biāo)位置預(yù)測(cè)數(shù)據(jù)。實(shí)驗(yàn)結(jié)果表明在相同的機(jī)動(dòng)水平下，該方法的跟蹤性能優(yōu)于Kalman濾波與強(qiáng)跟蹤濾波。

To improve tracking accuracy and stability of optic-electronic target tracking system, the conception of generalized synergic target and an algorithm named error-space estimation method are presented. In this algorithm, the motion of target is described by leading data and leading errors, then maneuver of target is separated into leading data and leading errors to reduce maneuver level. The prediction data of target position are acquired by synthesizing the filtering data from target state-space according to kinematics model and the prediction data from error-space according to leading error model. Differing from typical multi-model method, the kinematics model and leading error model work concurrently rather than switch between models. Experiment results show that the performance of the algorithm is better than Kalman filter and strong tracking filter at same maneuver level.