节点文献
基于卡尔曼滤波的风场测量仿真软件平台设计
Wind Field Measurement Simulation and Experiment Platform Based on Kalman Filters
【摘要】 提出了一种自适应卡尔曼滤波算法 ,介绍了基于最优卡尔曼滤波、传统卡尔曼滤波及自适应卡尔曼滤波算法、具有开放性和可扩充性的风场测量计算机仿真试验软件平台。仿真和试验结果表明 ,软件平台实用有效 ,自适应卡尔曼滤波算法比常规卡尔曼滤波精度高 ,鲁棒性、收敛性好。
【Abstract】 This paper presents a kind of adaptive Kalman filter algorithm ,introduces a wind field measurement computer simulation and experiment platform based on optimal Kalman filter, traditional Kalman filter and adaptive Kalman filter. The platform is open and extensible. The results of the simulation and the experiment on the platform illustrate that the platform is applicable and that the adaptive Kalman filtering algorithm is more precise,robust and convergent than taditional Kalman filter.
【关键词】 风场测量;
自适应;
卡尔曼滤波;
仿真;
试验平台;
【Key words】 Wind field measurement; Adaptive; Kalman filter; Simulation; Experiment platform;
【Key words】 Wind field measurement; Adaptive; Kalman filter; Simulation; Experiment platform;
【基金】 “十五”重大国防预研项目 ,平流层通信 ( 415 0 1110 2 )
- 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2003年04期
- 【分类号】TP391.9
- 【被引频次】6
- 【下载频次】181