卫星导航系统与气压高度计的信息处理与融合

提出一种卫星导航系统与气压高度计的高度数据融合算法. 利用ARIMA(autoregressive integrated moving average)模型信号降噪技术对卫星导航系统和气压高度计的高度信号进行降噪处理. 建立高度测量系统的状态方程和量测方程，并结合卡尔曼滤波对高度数据进行第1 次融合，再利用递推加权最小二乘法对高度数据进行第2 次融合，得到精度更高的飞行高度信息. 实测数据分析结果表明：该算法所获得的高度信息与气压高度计、卫星导航系统相比，标准差降低一半以上，有效地提高了测量精度，可满足飞行器对高度测量信息的要求.

Altitude Data Processing and Fusion Technique in Satellite Navigation and Baro-altimeter

We present an altitude data fusion approach for satellite navigation system and baro-altimeter. The altitude data noise of satellite navigation system and baro-altimeter is processed using an ARIMA model filtering method. Then, according to the altitude models of kinematics, satellite navigation systems and baroaltimeters, the equation of state and equation of measurement for altitude measurement are obtained. Kalman filtering is used to find an optimal estimate of the baro-altimeter. According to the measurement information complementary to each other, a recursive weighted least squares method is used to smooth the altitude data from the satellite navigation system to give high accuracy altitude information. Simulation results show that the system has a high degree of altitude measurement accuracy, which can meet the requirements of aero vehicles.