摘要
在光电跟踪系统目标状态预测过程中,噪声统计特性不确定是导致滤波精度下降的主要原因之一。针对该问题,提出了一种基于"当前"统计模型的扩展H∞滤波(EHF)方法,并与扩展卡尔曼(EKF)滤波方法做了仿真比较。仿真结果证明,在白噪声条件下,EKF滤波方法虽然精度略高,但收敛速度要差于EHF方法;在有色噪声条件下,EKF滤波方法几乎不能完成滤波,而EHF滤波器可以保持和白噪声假设条件相当的滤波精度,并且在目标发生机动的情况下该方法仍具有较强的鲁棒性。
Variation of noises statistical character is one of the main reasons which deteriorate the filter＇s precision in the opto-electronic tracking system.To solve this problem,extend H∞ filter（EHF） based on the acceleration non-zero mean value time-correlation model was introduced.Result of the simulation shows that,with the white noise,the precision of extend kalman filter（EKF） is better than EHF,but the convergence velocity of EHF is quicker.When the noise is non-white,EKF filter can＇t finish the job,but EHF filter has the comparative precision with former result,and at the same time,it has good robustness when target maneuvering occurs.
出处
《战术导弹技术》
2012年第2期90-94,共5页
Tactical Missile Technology
