自适应信息融合算法研究与应用(英文)  

Research on adaptive information fusion algorithm and its application

作　　者：崔平远[1] 黄晓瑞[2] 崔祜涛[2] 

机构地区：[1]北京工业大学电子信息与控制工程学院,北京100022 [2]哈尔滨工业大学深空探测基础研究中心,哈尔滨150001

出　　处：《控制理论与应用》2003年第5期725-728,共4页Control Theory & Applications

摘　　要：以组合导航系统为应用背景 ,对基于自适应联合卡尔曼滤波的信息融合算法进行了研究 ,将ARMA模型和自适应调节的信息分配因子应用于联合滤波中 ,完成信息融合 ,并以GPS/INS系统为例 ,进行了半实物仿真 ,结果表明 ,该方法可有效抑制滤波发散 ,并提高整个系统的精度和收敛速度 .The integrated navigation system was taken as research background and an information fusion algorithm based on adaptive federal Kalman filter (AFKF) was studied. ARMA model and self-adapting information sharing factor were applied to federal filter so as to accomplish information fusion. The semi-physical simulation of GPS/INS system is carried out, and the results illustrate that this method can inhibit divergence of filter and improve the accuracy and convergence speed of the whole system.

关 键 词：自适应信息融合算法 组合导航系统 GPS INS 半实物仿真 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]