Approaches to evaluate and improve short-term relative accuracy of GPS/INS systems

摘要: GPS/INS integrated systems can provide accurate and reliable navigation information using data fusing algorithm such as a Kalman filter. Current research works related to mainly focused on the absolute accuracy with dominant components of mid-term long-term errors. However, short-term relative will be required particularly in some applications, POS for LiDAR InSAR, deeply-couple. This paper raises importance certain applications. Then method evaluate errors Allan Variance analysis is proposed effort improve by adjusting filtering parameters made. The feasibility effectiveness methods were verified simulation results typical field test results. outcome this help optimize design specific applications areas where key requirement; facilitate use low-end these areas.