Data fusion for ballistic targets tracking using least squares
作者: Dariusz JanczakMiroslaw Sankowski
作者单位: 1Bialystok University of Technology, Faculty of Electrical Engineering, ul. Wiejska 45D, 15-315 Bialystok, Poland
2Przemyslowy Instytut Telekomunikacji S.A., ul. Hallera 233A, 80-502 Gdansk, Poland
刊名: AEUE - International Journal of Electronics and Communications, 2012, Vol.66 (6), pp.512-519
来源数据库: Elsevier Journal
DOI: 10.1016/j.aeue.2011.11.003
关键词: Nonlinear modelsRadar trackingBatch estimationLeast squares
英文摘要: Abstract(#br)The paper deals with the problem of state estimation of continuous-time nonlinear system using discrete-time measurements from multiple sensors. In particular, the problem of multi-radar tracking of artillery ballistic objects is considered. A batch estimator based on the iterative least squares approach is developed using simplified and accurate models of ballistic flight. The estimator is applied to process the sequences of measurements from radars tracking the same ballistic target. Estimates of the target state over time are computed and their accuracy is compared to the estimates yielded by the extended Kalman filter. Partial estimates from multiple radars are combined using track fusion approach and propagated using the 3 degree of freedom model of ballistic flight....
全文获取路径: Elsevier  (合作)

  • tracking 跟踪
  • ballistic 弹道的
  • fusion 融解
  • Data 数据
  • least 最少的