The Theory And Technology Research On Information Fusion Of Multimode Guidance

Information fusion is one of the key technologies for multimode guidance weapons, which plays an important role in improving precision guidance weapons performance. The dissertation is mainly about the information fusion part of multimode combined guidance seeker technology research, the software and hardware's design of information fusion is presented. The key technologies of information fusion are decision-making fusion, data association and track fusion. In this dissertation, the information fusion algorithms employed in the multimode seeker are formulated, at the same time the information fusion module is made, which demonstrates those effective algorithms. Meanwhile the detailed theory research is further developed in the dissertation.In data preprocessing, the methods of abnormal value identification and modification and time adjusting are studied. The elimination methods of outliers among the measurements play a crucial part in improving tracking performance. A new way which automatically weightens innovation is proposed according to interference influence. For increasing target tracking accuracy, the method first distinguishes and eliminates outliers, and then innovation multiplies with a descending function. The function weight value is adaptively adjusted according to innovation, and estimation value modified by measurements is changed.In decision-making fusion, this dissertation emphasizes on evidence theory, particularly on evidence theory under conflict. About evidence theory, some existent problems are presented, and the improved algorithm is proposed. The improved algorithm can make good use of multi-senor information; the combined result can be adaptively selected based on the precision and reliability of sensor and judging threshold. The algorithm can solve the problem of target decision fusion under conflict. In data association, nearest neighbor data association (NNDA), probabilistic data association (PDA) and joint probabilistic data association (JPDA) are analyzed. The PDA and JPDA deal with the target tracking perfectly in the clutter environment and have found widespread application in many areas. But if interference appears, the estimate values through PDA will be incorrect and diverge, and the performance will deteriorate dramatically. Based on the federated innovation of the PDA, the modified PDA (MPDA) is proposed. Simulation results demonstrate its effectiveness.In fusion algorithm, the status vector fusion, measurement vector fusion, discrete Kalman equation and track fusion are studied. A new state fusion model is proposed based on the theory and experiment results, then the modified measurement track-to-track fusion (MMTF) is employed as the tri-mode seekers data fusion model. Data fusion of radar and IR is studied based on prediction and correlation of Kalman filter, and then a new data fusion is introduced. The simulation indicates that the algorithm has preferable fusion result by using radar and IR data.In system achievement, according to system guide line, the hardware design, work process and software flow chart based on DSP (TMS320C6201) and FPGA are given. The communications within Passive, Radar, IR and computer are carried out though RS-422 serial port and host-port interface. The whole design process has already been debugged. The real-time result is satisfied through mountain-to-ocean test.