Altitude data processing and fusion technique in satellite navigation and baro-altimeter

作者：Zheng Zhi Ming^*; Liu Jian Ye; Qian Wei Xing

来源：Journal of Applied Sciences, 2010, 28(3): 277-282.

DOI：10.3969/j.issn.0255-8297.2010.03.009

• Aero vehicles
• Altitude data
• ARIMA model
• ARIMA models
• Equation of state
• Fusion techniques
• Kalman-filtering
• Measurement accuracy
• Measurement information
• Recursive weighted least square
• Satellite navigation
• Satellite navigation systems
• Simulation result

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.

• 出版日期2010
• 单位南京航空航天大学