Bridging GPS outages of tightly-coupled GPS/SINS using GMDH neural network  

作　　者：庞晨鹏 刘藻珍 

机构地区：[1]School of Aerospace Engineering,Beijing Institute of Technology

出　　处：《Journal of Beijing Institute of Technology》2011年第1期36-41,共6页北京理工大学学报（英文版）

摘　　要：A tightly coupled GPS （ global positioning system ）/SINS （ strap down inertial navigation system） based on a GMDH （ group method of data handling） neural network was presented to solve the problem of degraded accuracy for less than four visible GPS satellites with poor signal quality. Positions and velocities of the satellites were predicted by a GMDH neural network, and the pseudo ranges and pseudo range rates received by the GPS receiver were simulated to ensure the regular op eration of the GPS/SINS Kalman filter during outages. In the mathematical simulation a tightly cou pled navigation system with a proposed approach has better navigation accuracy during GPS outages, and the anti jamming ability is strengthened for the tightly coupled navigation system.A tightly coupled GPS （ global positioning system ）/SINS （ strap down inertial navigation system） based on a GMDH （ group method of data handling） neural network was presented to solve the problem of degraded accuracy for less than four visible GPS satellites with poor signal quality. Positions and velocities of the satellites were predicted by a GMDH neural network, and the pseudo ranges and pseudo range rates received by the GPS receiver were simulated to ensure the regular op eration of the GPS/SINS Kalman filter during outages. In the mathematical simulation a tightly cou pled navigation system with a proposed approach has better navigation accuracy during GPS outages, and the anti jamming ability is strengthened for the tightly coupled navigation system.

关 键 词：tightly coupled GPS/SINS integrated navigation GPS outage GMDH neural network pseudo range and pseudo-range rate 

分 类 号：V249.322[航空宇航科学与技术—飞行器设计]