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| 过程噪声方差实时补偿的非定轨目标跟踪 | |
| 引用本文： | 田俊林,付承毓,唐涛,于伟.过程噪声方差实时补偿的非定轨目标跟踪[J].光电工程,2012,39(1):68-73. |
| 作者姓名： | 田俊林 付承毓 唐涛 于伟 |
| 作者单位： | 田俊林:中国科学院光电技术研究所，成都 610209中国科学院光束控制重点实验室，成都 610209中国科学院研究生院，北京 100049 付承毓:中国科学院光电技术研究所，成都 610209中国科学院光束控制重点实验室，成都 610209 唐涛:中国科学院光电技术研究所，成都 610209中国科学院光束控制重点实验室，成都 610209 于伟:中国科学院光电技术研究所，成都 610209中国科学院光束控制重点实验室，成都 610209中国科学院研究生院，北京 100049徐州空军学院，江苏徐州 221000 |
| 基金项目： | 中国科学院重点实验室预研基金资助课题 (A09K002) |
| 摘 要： | 针对非定轨目标跟踪问题中过程噪声统计特性未知的特点，提出了一种实用的对过程噪声方差进行实时补偿的目标跟踪算法。该算法根据强跟踪滤波器的思想，通过实时检测新息序列来修正卡尔曼滤波算法中的状态预测误差协方差矩阵，进而对未知的过程噪声方差矩阵进行实时地补偿。由于存在新息检测机制，该算法能够有效地规避表征建模不确定性的过程噪声统计特性未知的问题，对于建模不确定性具有一定的适应能力。通过对一旋转靶标跟踪问题的仿真试验，证明了该方法的有效性。 |
| 关 键 词： | 目标跟踪 非定轨 强跟踪滤波 新息序列 渐消因子 |
| 收稿时间： | 2011/7/7 |
A Non-orbit Target Tracking Filter Based on Variance Compensation of Process Noises |
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| TIAN Jun-lin,FU Cheng-yu,TANG Tao,YU Wei.A Non-orbit Target Tracking Filter Based on Variance Compensation of Process Noises[J].Opto-Electronic Engineering,2012,39(1):68-73. | |
| Authors: | TIAN Jun-lin FU Cheng-yu TANG Tao YU Wei |
| Affiliation: | 1,2,3,4(1.Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China; 2.Key Laboratory of Beam Control,Chinese Academy of Sciences,Chengdu 610209,China; 3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China; 4.Xuzhou Airforce College,Xuzhou 221000,Jiangsu Province,China) |
| Abstract: | In order to overcome the uncertainty of target motion in non-orbit target tracking problems, a practical filtering algorithm, which compensated the variance of process noises, was proposed in this work. Based on the principle of strong tracking filter, the prediction covariance in Kalman filtering equations was modified real-time by monitoring innovation sequence in the proposed algorithm. In this way, the unknown variance of process noises was compensated effectively. Due to innovation-monitoring procedure, the proposed algorithm was adaptive to the uncertainty of target motion model. Simulation results of a rotary target tracking problem show the validity of the proposed algorithm. |
| Keywords: | target tracking non-orbit strong tracking filter innovation sequence fading factor |
| 本文献已被 CNKI 等数据库收录！ | |
