Probabilistic Data Association Performance During Launch Vehicle Tracking
Challa Ravindra, S Rajkumar, A Vaidhyanathan · 2023
Probabilistic Data Association (PDA) is Bayesian approach of deriving likelihood function for all measurements reported by radar. Tracking of Launch Vehicle with skin mode radar involves processing of multiple returns from rocket, separated stages and rocket plumes, which makes association of track measurements more uncertain. Using PDA we bring down the uncertainty of measurements by computing posterior probability for all measurements reported by radar during real time. Measurement with highest posterior probability is selected and given as input to processing filter. In this paper we analyze Probabilistic Data Association (PDA) performance during tracking of Launch Vehicle by Multi Object Tracking Radar.