CAJ | 학술논문

针对常规运动目标滤波算法在提升光电跟踪系统性能方面存在较大困难，基于运动目标状态的当前统计(current statistics，CS)模型，设计了该模型下的鲁棒H∞滤波预估算法。根据H∞滤波理论及目标状态方程，求解H∞滤波预估算法，实现了对目标状态信息的有效预估，并将其应用于某型光电跟踪系统，进行了实验验证。实验结果表明：该算法能有效抑制脱靶量噪声与延迟对跟踪系统带来的不利影响，相较于Kalman滤波算法，滤波精度更高，鲁棒稳定性更强，能够提升系统跟踪精度与性能。
침대상규운동목표려파산법재제승광전근종계통성능방면존재교대곤난，기우운동목표상태적당전통계(current statistics，CS)모형，설계료해모형하적로봉H∞려파예고산법。근거H∞려파이론급목표상태방정，구해H∞려파예고산법，실현료대목표상태신식적유효예고，병장기응용우모형광전근종계통，진행료실험험증。실험결과표명：해산법능유효억제탈파량조성여연지대근종계통대래적불리영향，상교우Kalman려파산법，려파정도경고，로봉은정성경강，능구제승계통근종정도여성능。
Aiming at the difficulties of improving the performance of electro-optical tracking system that the conventional filtering algorithm for maneuvering target is applied, the robust H-infinity prediction algorithm which is based on the current statistics (CS) model of target state is designed. According to the theory of H-infinity and equations of target state, the filtering and prediction algorithm is solved, and achieving accurate information of the target. Apply the algorithm on an electro-optical tracking system. The experiment result shows that the algorithm can restrain the disadvantages effectively which caused by the noise and delay of undershoot, comparing with Kalman algorithm, it has higher filtering accuracy and better robust performance, the tracking accuracy and performance of the system are improved.