Reduced parameter model on trajectory tracking data with applications

The data fusion in tracking the same trajectory by multi-measurement unit ( MMU) is considered. Firstly, the reduced parameter model (RPM) of trajector y parameter (TP), system error and random error are presented, and then the RPM on trajectory tracking data (TTD) is obtained, a weighted method on me asuring elements (ME) is studied and criteria on selection of ME based on r esidual and accuracy estimation are pur forward. According to RPM, the prob lem about selection of ME and self-calibration of TTD is thoroughly investi gated. The method improves data accuracy in trajectory tracking obviously a nd gives accuracy evaluation of trajectory tracking system simultaneously.