Research On Distributed Infrared Multi-senors Target Data- Associaton Technology

Precision-guided weapons will Compete with each other in the high-tech battlefield of the future. Electromagnetic environment will be very complex in the wars of future, Whether marine, naval, air combat, or a combination of them, three-dimensional war, to obtain objective information timely, accurate, hidden using sensors will play an important role in weapon guidance systems. Limited field of view of one sensor,and reliablity of data is low, Distributed sensor systems employs multi-sensor detecting, tracking and related multi-target simultaneously, then to attack the target of a greater threat in their respective field of view. By this means, increase the probability of precision-guided weapons to intercept.Consequently multi-sensor detect and track algorithm becomes the research focus in target detection domain.By combing the feature of single senor target detection, a target trajectory detection algorithm based on measures-track's correlation is presented. depending on the continuity of the target motivation and use linear least squares estimate the location of target,it can effectvely imrpove the stability of the associated atrjectory and trajectory detection probability.The problem of coordinate conversion for infrared multiple-senors in a system is considered.Because of lack distance imfromation of target,we can't use three-dimensional to finish coordinate conversion.Base on the model of imaging and the model of space coordinate conversion,finished the model of multi-senors coordinate conversion. A CORDIC-based coordinate transform circuit is designed based on the requirement of processing information in time.Because target imaging for points, or the speckled,lack of gray and shape information, to achieve target association is difficult.A target association method based on gray theory is proposed, Effective use of each state information of target to achieve target association. The experimental result showed that algorithm has more assiciation probability and good robust when target more intensive and exist cross movement.