A novel missile warhead tracking algorithm based on geometric data association

Seul Ki Han, Won Sang Ra, Jin Bae Park

Research output: Contribution to journalConference articlepeer-review


This paper proposes a new ballistic missile warhead tracking method for enhancing the anti-ballistic capability of a FMCW seeker used for ballistic missile defense (BMD) system. Under the assumption that the target has a single dominant scatterer, most FMCW radars adopt the well-known paring algorithm to obtain range and range rate information. However, the ballistic missile is generally composed of many scatterers and the warhead section of concern is not a dominant one. Therefore, the conventional paring algorithm may not be applicable for the ballistic missile warhead tracking. To overcome this limitation, the problem is reformulated as tracking of multiple scatterers of a ballistic missile in view of data association. Furthermore, an inventive hypotheses validation scheme is newly devised by exploiting the geometric constraint among scatterers corresponding to the ballistic missile warhead and its center of body. Therefore, the proposed geometric data association filter can drastically improve the warhead tracking performance in practice. Through computer simulations, the effectiveness and the reliability of the proposed method are demonstrated.

Original languageEnglish
Article number6426788
Pages (from-to)484-489
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: 2012 Dec 102012 Dec 13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization


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