Unified detection and tracking based on particle filtering and likelihood ratio methods

A unified detection and tracking algorithm for dim target with fluctuating amplitude in very law signal-to-noise ratio environment is proposed based on particle filter and Bayesian likelihood ratio methods. The proposed method utilizes raw data of sensor and takes Bayesian likelihood ratio as decision criterion. The posterior probability distribution of target and unified detection and tracking are achieved using particle filter. The simulation results show the effectiveness of the algorithm.