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  • 标题:A Method of Target Tracking and Prediction Based on Geomagnetic Sensor Technology
  • 本地全文:下载
  • 作者:Xinmin Tang ; Shangfeng Gao ; Songchen Han
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2015
  • 卷号:5
  • 期号:16
  • 页码:21-37
  • DOI:10.5121/csit.2015.51603
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In view of the inherent defects in current airport surface surveillance system, this paperproposes an asynchronous target-perceiving-event driven surface target surveillance schemebased on the geomagnetic sensor technology. Furthermore, a surface target tracking andprediction algorithm based on I-IMM is given, which is improved on the basis of IMMalgorithm in the following aspects: Weighted sum is performed on the mean of residual errorsand model probabilistic likelihood function is reconstructed, thus increasing the identificationof a true motion model; Fixed model transition probability is updated with model posteriorinformation, thus accelerating model switching as well as increasing the identification of amodel. In the period when a target is non-perceptible, prediction of target trajectories can beimplemented through the target motion model identified with I-IMM algorithm. Simulationresults indicate that I-IMM algorithm is more effective and advantageous in comparison withthe standard IMM algorithm.
  • 关键词:surface surveillance; geomagnetic sensor technology; I-IMM; target trajectory; tracking and;prediction
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