实时电子稳像系统中Kalman滤波器的FPGA实现  

The FPGA implementation of Kalman filter in real-time electronic image stabilization system

作　　者：邓军[1,2] 祁小平[1] 

机构地区：[1]中国科学院光电技术研究所,成都610209 [2]中国科学院研究生院,北京100039

出　　处：《仪器仪表用户》2011年第5期83-86,共4页Instrumentation

摘　　要：针对实时电子稳像系统中Kalman滤波器的硬件实现问题,提出了一种Kalman滤波的FPGA实现方法。通过对电子稳像算法中Kalman滤波模型的分析,对滤波算法进行了化简,将滤波器的运算分解成简单的加、减、乘、除运算。利用硬件描述语言对Kalman滤波进行了FPGA实现,并对实现的滤波器进行了验证。通过软硬件仿真实验结果的对比,验证了所实现滤波器的有效性。The Kalman filter needs hardware implementation in real-time electronic image stabilization system.A way of Kalman filter implementation based on FPGA was proposed.With analyzing the model of Kalman filter in electronic image stabilization,the operation of the filter was predigested by decomposing into simple operations such as addition,subtraction,multiplication and division.Then the Kalman filter was implemented by hardware description language,and validated through contrasting its result with the software simulation result.The contrast result shows the validity of the implementation of Kalman filter.

关 键 词：KALMAN滤波 FPGA 电子稳像 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]