基于集员估计的光电系统目标状态预测方法研究

• 作 者: 郭宁 吕俊伟 邓江生
• 机 构: 海军航空工程学院控制工程系,海军航空仪器计量站,
• 出 处: 科学技术与工程
• 发表日期: 2013年08期
• 关键词: 光电跟踪 状态估计 扩展集员估计 椭球定界 opto-electronic tracking state estimation extend set-membe

在光电跟踪系统目标状态估计过程中,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,研究了一种基于扩展集员估计的目标状态估计方法,并与扩展卡尔曼滤波算法做了比较。结果表明,在保证滤波精度前提下,基于噪声特性未知但能量有界(Unknown but Bounded-UBB)假设的扩展集员估计方法能有效克服噪声统计特性不确定造成的影响,具有较强的工程实用性。

In the process of target tracking of photoelectric tracking system, the uncertainty of the noise statistics is one of the main reasons for the decrease of the filtering accuracy. Aiming at this problem, a method of target state estimation based on extended set-membership estimation is studied and compared with extended Kalman filter. The results show that under the premise of ensuring the filtering accuracy, the extended set estimation method based on Unknown but Bounded-UBB hypothesis with unknown noise characteristics can effectively overcome the influence caused by the uncertainty of the statistical characteristics of noise and has strong engineering practicality Sex.