The Theory And Applications Study For Multiscale Data Fusion From Measurement Of Launch Vehicle

The effectiveness of launch vehicle is related to its precision tightly. A little improvement of the precision can enhance the total performance of launch vehicle very much. First, it is very important for high accurate trajectory data to judge and analyze the guide system, dynamic system and other systems. Second, it's important to predict the landing spots of the separate stages of launch vehicle, which the cities and facilities along trajectories can be safeguarded. Hence, the high accurate processing of measurement data has being one of the key missions of the spacecraft launch, and focuses the interest of many researchers from the areas of control theory and others.In view of enhancing the processing precision, the title about multisacle data fusion theory and applications study for measurement of launch vehicle is presented. Two aspects about data fusion and multiscale analysis are studied emphatically. According to the characteristics of Chinese TT&C, the function and architecture model is determined, suited for Chinese measurement for launch vehicle, and the centralized architecture fusion model without feedback at data level is fixed firstly. Dynamic model equations are established using multiscale analysis theory, and the multiscale dynamic model for measurement of launch vehicle at different coordinate systems is established accordingly secondly. Based on the multiscale dynamic, a centralized multiscale algorithm based Kalman filter is given thirdly. This is an algorithm after launching missions. The tested results show: (1) the algorithm is very effective, and the improvement of processing precision is evident; (2) the smaller scale, the more evident improvement; (3) the effect of the algorithm is better than that of theα?β?γfilter. With the help of the established dynamic equations based on data block, a real-time multiscale fusion algorithm is given fourth. The algorithm absorbs some views from Bar-shalom formula, which is applied in target tracking. The tested results show: (1) the algorithm is very effective, and the improvement of processing precision is evident; (2) the smaller scale, the more evident improvement; (3) the effect of the algorithm is better than that of theα?β?γfilter, but the calculating time of the algorithm is longer. In fact, this should be predicted and shows there is difference between precision and speed in the field of multiscale fusion. And wavelet transform is the bridge between different scales about the two algorithms.Viewed as the most important content, space and time align is studied...