Pairs Of Infrared Sensors Distributed Information Fusion Research

With fast development of multi-sensor technology, sensors obtain more kinds and quantities information, multi-sensor information fusion technology plays an important role. Researchers from many countries propose important views and algorithms for applications of radar/infrared, infrared/UV, UV/UV multi-sensor fusion, multi-sensor fusion technology develops rapidly.This thesis researches information fusion methods according to characters of dual-band infrared sensors. This thesis brings forward an improved distributed information fusion structure for its economy and rational structure. And studies and improves track correlation, track fusion and threaten estimation algorithms.This thesis studies and realizes traditional track correlation methods: weighting method, WCF, double threshold, NN, KNN, MKNN etc according to infrared sensors characters. Through studying algorithms and analyzing simulation experiments results, this thesis finds that performance of these algorithms decline seriously when targets are dense and across. Also, track correlation algorithms based on statistical theory limit type of tracking filter, and change of tracking performance influence the correct rate of correlation directly. For avoiding these problems, based on fuzzy set and sequential detection theory, combining characters of dual-band infrared sensors, the thesis brings forward a fuzzy sequential track correlation algorithm, and proves that performance of the algorithm is better than others through simulation experiments.Traditional and/or methods for disposing uncorrelated tracks have influence on leak/false rate. The thesis brings forward a new method based on consensus theory, according to characters of infrared sensors.Track fusion is an important part of information fusion. It concerns accuracy of the result of information fusion. This thesis achieves and studies weight, WCF and adaptive track fusion algorithms, analyses and compares these algorithms through simulation experiments. In addition, because of time limit, the thesis brings forward a predigesting method of self-adaptive track fusion and proves it' s effective by experiments.Threaten estimation is to analysis the degree of target threaten. Combining characters of infrared sensors, this thesis brings forward a threaten estimation method based on property decision.