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。
关键词:
风场测量,
自适应,
卡尔曼滤波,
仿真试验平台
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 illustrate that the platform is applicable and that the adaptive Kalman filtering algorithm is more precise,robust and convergent than traditional Kalman filter.
中图分类号:
蔡崧,产竹旺. 基于自适应滤波的风场测量仿真试验平台[J]. , 2003, 29(18): 196-.
CAI Song,CHAN Zhuwang. Wind Field Measurement Simulation and Experiment Platform Based on Adaptive Filters[J]. , 2003, 29(18): 196-.