中文摘要：

针对机载空间激光通信终端的机动形式多样性,建立了机载激光通信终端运动模态,应用改进的递归最小二乘法实现观测数据加权,将参数辨识方法和卡尔曼模型结合,动态调整卡尔曼模型中的状态转移矩阵,实现对机载激光通信终端的机动跟踪。构建机载空间激光通信的跟踪实验平台,模拟机载激光通信终端多种运动模式的实验表明,本文的参数辨识卡尔曼算法具有跟踪精度高和响应时间短,且具备多种动动模式的跟踪适应能力。

英文摘要：

Airborne laser communication has become the main way of large capacity space communication for the future, and real-time high-precision tracking system of airborne laser communication platform has been already one of the most difficult problems. In order to resolve the diversity of maneuvering forms for airborne platform,it is impossible to describe the maneuvering forms with fixed models. In the continuous time domain, three-order linear differential equation may be applied to describe the airborne laser terminal motion model with different parameter values, which can cover a wide variety of motion modes. It is the important step to identify the parameter values according to the motion modes, the improved recursive least square method is adopted to identify parameter, it can resolve observed data saturation and estimate divergence,the parameter identification and Kalman filter are combined to decide the state transition matrix, which may include a variety of motion states for airborne laser communication platform in Kalman model. Novel method that adopts laser beam to simulate maneuvering is proposed which can effectively simulate the maneuvering forms. The experimental results show that the Kalman filter based on the parameter identification has advantages of high tracking precision, short response time and good tracking ability with differential models.