粒子滤波的机载激光通信自适应参数辨识跟踪方法（英文）  

Adaptive parameter identification tracking based on particle filter for airborne laser communication

作　　者：曹阳[1,2] 郭靖[1] 

机构地区：[1]重庆理工大学电子信息与自动化学院,重庆400054 [2]电子科技大学物理电子学院,四川成都610054

出　　处：《红外与激光工程》2015年第10期3098-3102,共5页Infrared and Laser Engineering

基　　金：国家自然科学基金(61205106);重庆市教委科学技术研究项目(KJ120827,KJ1500934)

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。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.

关 键 词：机载激光通信 跟踪 参数辨识 粒子滤波 

分 类 号：TN953[电子电信—信号与信息处理]