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

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.