Heterogeneous Multi-Sensor Joint Tracking of Target Buried in Aew Radar Blind Doppler Zone
Due to adopting the Pulse Doppler (PD) system, the Blind Doppler Zone (BDZ) of Airborne Early Warning (AEW) radar is inevitable. This paper focuses on finding a technique with good estimation performance for tracking airborne targets flying in AEW BDZ. Consequently, combining with Interacting Multiple Models (IMM), Extended Kalman Filter (EKF) and Particle Filter (PF), the radar and Electronic Support Measure (ESM) joint tracking BDZ target technique based on IMMEPF is put forward. The advantage of IMM algorithm is not only error reduction but also model prediction. As far as the nonlinear, non-Gaussian problem is concerned, particle filter is adept usually. For the purpose of overcoming the particle degeneracy phenomenon, it relies on EKF state estimation to generate new particle set.