Modified smoothing data association for target tracking in clutter
作者：
Highlights：
• Modification in smoothing data association algorithm for target tracking in clutter.
• Initialization and estimation of forward/backward tracks in each scan separately.
• Forward track validates backward multi-track predictions for fusion.
• Smoother generates multiple fusion components for smoothing and forward estimates.
• False-track discrimination is obtained using smoothing target existence probability.
摘要
•Modification in smoothing data association algorithm for target tracking in clutter.•Initialization and estimation of forward/backward tracks in each scan separately.•Forward track validates backward multi-track predictions for fusion.•Smoother generates multiple fusion components for smoothing and forward estimates.•False-track discrimination is obtained using smoothing target existence probability.
论文关键词：Estimation,False-track discrimination (FTD),Smoothing,Tracking,Target existence
论文评审过程：Received 28 August 2018, Revised 29 August 2019, Accepted 19 September 2019, Available online 20 September 2019, Version of Record 27 September 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112969
