Centralized Multi Sensor Data Fusion Scheme for Airborne Radar and IFF
Abhishek Kumar, A Muthukumar, R Rajesh · 2024
This paper presents a robust plot to plot level fusion based tracking approach employing an Interaction Multiple Model (IMM) Kalman Filter framework for combining data from Primary Radar (PR) and Identification of Friend or Foe (IFF) sensors. Unlike track to track level fusion based tracking methods, this approach centrally processes correlated plot data from these sensors using IMM Kalman filter to generate comprehensive track estimate. The efficacy of this fusion approach is validated through series of simulations considering different target motion dynamics. The use of IMM Kalman filter empowers this approach to deal with manoeuvring targets dynamics effectively.