摘要
介绍了精细跟踪系统的算法及硬件结构组成。以平均值平滑滤波法和质心法实现了对信标光斑定位,利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。采用高帧频CMOS相机和高效的基于FPGA处理器的处理算法,实现了信标光的高精度实时跟踪及硬件系统。用外场激光无线通信实验验证了系统具有很好的实用价值。
This article detailed the fine tracking algorithm and the hardware structure of the system, Using smoothing filter and average-force algorithm to position beacon＇s facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm. High frame rate CMOS cameras and high-performance processing algorithms based on FPGA processor to achieve beacon real-time tracking of high-precision optical hardware system. The system prove to have good practical value by the wireless laser communication experiment.
出处
《光通信技术》
CSCD
北大核心
2009年第8期54-57,共4页
Optical Communication Technology
关键词
精细跟踪
卡尔曼预测
跟踪算法
图像处理
fine tracking system, kalman prediction, tracking algorithm, image processing
