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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 space laser communication is the main way to realize the communication of large capacity space in the future. The high precision real-time dynamic tracking of airborne space laser communication terminal has always been a difficult issue for its research. In order to solve the problem of diversity of maneuver forms in airborne laser communication terminals, an adaptive parameter identification particle filter is proposed. In the continuous time domain, the parameter identification model based on the third-order linear differential equation describes the movement of airborne laser communication terminal. The model can adapt to a variety of motion modes of airborne laser communication terminal. Particle filter can deal with nonlinear / linear Gaussian Therefore, it can be introduced into the parameter identification model. Experimental results show that this algorithm can improve the convergence accuracy and is also of great significance to engineering application.