Multi-sensor Multi-target Track Association And Fusion Algorithm

Along with the rapid development of modern technology and the demand of modern war, Information fusion technology has become the hotspot in the maneuvering target tracking field, In the face of modern battle with the enemy flying high maneuverability and complexity of targets, in order to strike and defend effectively, we must combine organically multiple sensors information to accurately track.Combining a research project in this dissertation,Number of radars are used to compose the distributional network, software realization of IMM filtering, track correlation and track fusion algorithm are finished, also a series of computer simulation are carried on.Firstly, measurement data preprocesses technologies in the field of the target tracking are introduced, and based on kalman filtering technology of the target tracking field, the dissertation analyses interactive model filter algorithm, through the simulation examples, and proves that the algorithm is effective. Data support for researching subsequent track correlation and track fusion algorithm is provided.Secondly, based on the practical engineering research background, the distributed correlation algorithms which are currently widespread adoption are summarized and discussed in the dissertation. Include weighting, fixed, independent sequential correlation algorithm, and analyzes when track is crossing, bifurcating and combining, and the feasibility of the algorithm thought the several of simulation examples is proved.Finally, the dissertation describes several common track fusion algorithms of the target tracking field, including centralized and distributed structure. Since centralized structure has large amount of calculation and the high requirements of system processor, the dissertation adopts the distributed fusion algorithm, and associated successful route, with no feedback optimal distributed fusion algorithm 50 times Monte Carlo simulation to verify the algorithm reliability.From the Angle of engineering area, the key of target tracking data fusion area is discussed in this dissertation, and useful reference for the practical engineering application is provided.