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Research on Ballistic Target Information Processing

Author: HuangShuangNing
Tutor: LiuMei
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: ballistic missile early warning ballistic target tracking multi-target tracking multi-sensor track fusion
CLC: TJ761.3
Type: Master's thesis
Year: 2009
Downloads: 147
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Abstract


Early warning radar system is one of the main data acquisition approaches for ballistic missile defence. Ground-based radar has the advantages of high accuracy both in measurement and landing point estimation, good security and strong ability to detect. In response to the threat of ballistic missiles from our Neighboring countries and regions, study on ballistic missile early warning system becomes an important issue.Under the background of tracking ballistic missiles by ground-based radar systems, the maneuvering ballistic target tracking, the multi-target tracking algorithm and multi-sensor track fusion method are studied in this thesis. Aiming at tracking a ballistic missile which maneuvers during its reentry phase, a interacting multiple model estimator is proposed. First nonlinear filtering and some nonlinear filters and are discussed, Then design an interacting multiple model estimator to solve the problem of tracking a maneuvering ballistic missile. Compared with method which uses a single model nonlinear filter, simulation results show that the estimation accuracy is reduced significantly when the targets maneuvers.The number of targets is huge in the supervising area when withstand missile saturation attack, the number raise suddenly because one missile would Export multiple sub-warheads. First multi-target tracking problem is discussed, then markov chain monte carlo data association algorithm is proposed to solve the problem of multi-target tracking. Compared with well known multiple hypothesis tracker, simulation results show that mcmcda algorithm give a better performance in dense environment.Targeting at the application of multi-sensor multi-target tracking system in the field of ballistic missiles tracking. First multi-sensor information problem is introduced, then track association and track fusion, two problems of track fusion, are discussed. Based on mcmcda algorithm a distributed multi-sensor track fusion system is build at last. simulation results show that the proposed distributed multi- sensor track fusion system give a better performance than single sensor.

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CLC: > Industrial Technology > Arms industry > Rockets, missiles > Missile > Missiles : the range,the role of structural distinctions > Ballistic missile
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