| 曹阳.机载空间激光通信终端的参数辨识跟踪方法研究[J].光电子激光,2014,(9):1695~1700 |
| 机载空间激光通信终端的参数辨识跟踪方法研究 |
| Research of parameter identification tracking algorithm for airborne laser communication |
| 投稿时间：2014-05-07 |
| DOI： |
| 中文关键词: 机载空间激光通信 参数辨识 跟踪 卡尔曼滤波 |
| 英文关键词:airborne laser communication parameter identification tracking Kalman filter |
| 基金项目:国家自然科学基金(61205106)和重庆市教委科学技术基金(KJ120827)资助项目 (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) |
|
| 摘要点击次数: 1500 |
| 全文下载次数: 139 |
| 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 a irborne laser communication platform has been already one of the most difficult problems.I n order to resolve the diversity of maneuvering forms for airborne platform,it is impossible to de scribe 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 mot ion model with different parameter values,which can cover a wide variety of motion modes.It i s 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 c an resolve observed data saturation and estimate divergence,the parameter identification a nd Kalman filter are combined to decide the state transition matrix,which may include a variety o f m otion 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 maneuverin g 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. |
| 查看全文 下载PDF阅读器 |
| 关闭 |
|
|
|
|
|