Adaptive parameter identification tracking based on particle filter for airborne laser communication
-
摘要: 机载空间激光通信是实现未来超大容量空间通信的主要途径,机载空间激光通信终端的高精度实时动态跟踪一直是其研究的难点问题。为了解决机载空间激光通信终端的机动形式多样性的问题,提出了自适应参数辨识粒子滤波方法。在连续的时间域中,基于三阶线性微分方程的参数辨识模型描述机载空间激光通信终端运动,该模型能适应机载激光通信终端的多种运动模式,粒子滤波能处理非线性/线性高斯问题,因此可以引入到参数辨识模型中。实验结果表明:该算法能改善收敛精度,对工程应用也有重要意义。Abstract: Airborne laser communication has became the main way of large capacity space communication for the future, high precision dynamic tracking system of airborne platform has already been one of the most difficult problem. In order to resolve the diversity of maneuvering forms for airborne platform, adaptive parameter identification with particle filter was put forward in the paper, in the continuous time domain, parameter identification model based on three order linear differential equation was applied to describe the motion of airborne laser platform, which can cover a wide variety of motion modes, the particle filter can deal with nonlinear/non-Gaussian problems, it can be introduced into parameter identification model. The results show that this algorithm can improve the convergence precison, which have some significance in engineering application.
-
Key words:
- airborne laser communication /
- tracking /
- parameter identification /
- particle filter
-
[1] Toni Tolker Nielsen, Gotthard Opperhaeuser. In orbit test result of an operational optical intersatellite link between ARTEMIS and SPOT4[C]//SPIE, 2002, 4635:1-15. [2] [3] Vladimir V Nikulin, Jozef Sofka, Rahul M Khandekar. Effect of the sampling rate of the tracking system on free-space laser communications[J]. Optical Engineering, 2008, 47(3):1-7. [4] [5] Mariusz Czarnomski, Jason Blakely, Ziming Wang. Laser communications for unmanned aircraft systems using differential GPS and IMU data[C]//SPIE, 2010, 7587:9-13. [6] [7] Tian Junlin, Fu Chengyu, Tang Tao. Maneuver-adaptive target tracking algorithm with bearing-only measurements[J]. Opto-Electronic Engineering, 2009, 38(10):57-63. [8] [9] Young Eric Y S, Bullock Audra M. Underwate airborne laser communication system:characterization of the channel[C]//SPIE, 2003, 4975:146-157. [10] [11] [12] Leitgeb E, Zettl K, Muhammad S. Investigation in free space optical communication links between unmanned aerial vehicles(UAVs)[J]. Transparent Optical Networks, 2007, 131:152-155. [13] Qin Lai'an, Hou Zaihong, Wu Yi. Transfer function identification method and its application in photoelectrical tracking system[J]. Infrared and Laser Engineering, 2012, 41(10):2810-2816.(in Chinese) [14] [15] Song Yansong, Tong Shoufeng, Jiang Huilin, et al. Variable structure control technology of the fine tracking assembly in airborne laser communication system[J]. Infrared and Laser Engineering, 2010, 39(5):934-938.(in Chinese) [16] [17] [18] Lu Ning, Ke Xizheng, Zhang Hua. Research on APT coarse tracking in free-space laser communication[J]. Infrared and Laser Engineering, 2010, 39(5):934-938.(in Chinese) [19] [20] Li Hongwen, Li Yuanchun. Neural network PID control based on model identifier for theodolite[J]. Infrared and Laser Engineering, 2006, 35(S):442-446.(in Chinese) [21] Zeng Luan, Tan Junbin, Song Shengli, et al. Improved tracking algorithm for moving target[J]. Infrared and Laser Engineering, 2008, 37(3):556-560.(in Chinese) [22] [23] Fidler F, Knapek M, Horwath J. Optical communications for high-altitude platforms[J]. Quantum Electronics, 2010, 16(5):1058-1070. [24] [25] Farrell W. Interacting multiple model filter for tactical ballistic missile tracking[J]. Aerospace and Electronic Systems, 2008, 44(2):418-426. [26] [27] [28] Shi Zhangsong, Liu Zhong, Wang Hangyu, et al. Method and Theory of Target Tracking and Data Fusion[M]. Beijing:National Defense Industry Press, 2010. [29] Chang Tianqing, Zhou Qihuang, Qiu Xiaobo. Engineering design of dynamic recognition of parameter recognition model for target automatic tracking[J]. Fire Control and Command Control, 2006, 31(1):7-12.
计量
- 文章访问数: 345
- HTML全文浏览量: 37
- PDF下载量: 184
- 被引次数: 0