Lv Junwei, Guo Ning, Pan Shuang. Research on estimation for infrared target state with observation of delay time and pertinence sequences[J]. Infrared and Laser Engineering, 2014, 43(10): 3238-3243.
| Citation:
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Lv Junwei, Guo Ning, Pan Shuang. Research on estimation for infrared target state with observation of delay time and pertinence sequences[J]. Infrared and Laser Engineering, 2014, 43(10): 3238-3243.
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Research on estimation for infrared target state with observation of delay time and pertinence sequences
- 1.
Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;
- 2.
Department of Missile,Naval Submarine Academy,Qingdao 266042,China
- Received Date: 2014-02-22
- Rev Recd Date:
2014-03-27
- Publish Date:
2014-10-25
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Abstract
The delay and pertinence of observation sequence in the infrared tracking system affect estimation to the target estate. In the course of tracking, delay of observation sequence induces the error between the measurement and truth, and then estimation based on the measurement is inaccurate, at the same time, pertinence of observation sequence affects the estimation result too. To assure the veracity of prediction, firstly, the system model was modified by ellipsoidal set form to overcome the pertinence of observation sequence, and at the same time, the innovation re-organization technique was introduced to eliminate the observation delay. With the innovation re-organization, the system structure was changed and a model without delay was obtained. At last, a delayed ellipsoidal set filter(DESF) was presented. Result of simulation shows that, DESF algorithm could overcome the effect of pertinence of observation sequence, and compared with filter designed without innovation re-organization, the tracking precision is better.
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References
|
[1]
|
Mendel J M. Lessons in Estimation Theory for Signal Processing, Communications and Control[M]. NJ: Pretice-Hall, 1995. |
|
[2]
|
|
|
[3]
|
Ren J S. LMI-based fault detection filter design for a class of neutral system with time delay in states[C]//Proceedings of the 6th World Congress on Intelligent Control and Automation, 2006: 5581-5585. |
|
[4]
|
|
|
[5]
|
Zhao Chao. Effects of time delay and its compensation algorithm in a seeker's servo system[J]. Infrared and Laser Engineering, 2008, 37(6): 1066. (in Chinese) 赵超.导引头随动系统中信号处理延迟的影响及其补偿算法[J]. 红外与激光工程, 2008, 37(6): 1066. |
|
[6]
|
|
|
[7]
|
|
|
[8]
|
Chen Li. Research on estimation performance of optic-electric tracking systems with intermittent observations and filters development[D]. Nanjing: Nanjing University of Science and Technology, 2009: 63-68. (in Chinese) 陈黎. 不完全量测下光电跟踪系统估计性能研究及其滤波器实现[D]. 南京: 南京理工大学, 2009: 63-68. |
|
[9]
|
Bravo J M, Alamo T, Camacho E F. Bounded error identification of systems with time-varying parameters[J]. IEEE Transactions on Automatic Control, 2006, 51(7): 1144-1150. |
|
[10]
|
|
|
[11]
|
|
|
[12]
|
Zhao H G,Zhang H S,Zhang C H,et al. Optimal filtering for linear discrte-time systems with single delayed measurement[J]. International Journal of Control Automation and Systems, 2008, 6(3): 421-428. |
|
[13]
|
Chai Wei. Set membership estimation theory, methods and their applications[D]. Beijing: Beihang University, 2009: 109-111. (in Chinese) 柴伟. 集员估计理论、方法及其应用[D]. 北京: 北京航空航天大学, 2009: 109-111. |
|
[14]
|
|
|
[15]
|
|
|
[16]
|
Zhou Xiaodong. The application of prediction filtering technique in TV tracking system[D]. Beijing: Chinese Academy of Sciences China, 2005: 35-38. (in Chinese) 周晓东. 预测滤波技术在电视跟踪系统中的应用研究[D].北京: 中国科学院, 2005: 35-38. |
|
[17]
|
|
|
[18]
|
Hu Xu, Hong Jiantang, Ji Yulong. Fast-response IR detector digital noise restraining[J]. Infrared and Laser Engineering, 2006, 35(2): 201. (in Chinese) 胡旭,洪建堂,姬玉龙. 快速响应红外探测器自适应降噪[J]. 红外与激光工程, 2006, 35(2): 201. |
|
[19]
|
Li Wenjun, Chen Tao. Analysis and restraining of random noise of optoelectronic tracking system[J]. Optics and Precision Engineering, 2007, 15(2): 254-260. (in Chinese) 李文军, 陈涛. 光电跟踪系统噪声分析及其抑制[J]. 光学精密工程, 2007, 15(2): 254-260. |
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