Out-of-Sequence Measurement Processing for Tracking Ground Target Using Particle Filters

We present a filtering algorithm for processing out-of-sequence measurements (OOSMs) in multi-sensor target tracking using the particle filter (PF). Measurements can arrive out-of-sequence at a fusion center due to varying data pre-processing times at the sensor platforms and communication delays in a multi-sensor target tracking system. Standard filtering algorithms such as the Kalman filter (KF), extended KF (EKF), interacting multiple model …