Abstract:

Modified Probabilistic Data Association Filter (MPDAF) algorithm of Radar/IR fusion tracking algorithm was proposed to solve the problem of data association of turn maneuvering target tracking in clutter environment. The range of current time turn angular velocity can be obtained by turn maneuver capability, measurement noise, previous time target status and turn angular velocity. MPDAF gets the best match turn angular velocity, prediction center, new interest covariance and weight coefficient according to each measurement value. The weight coefficient decided the weight of the measurement value during status update. Simulation results show that the MPDAF algorithm of Radar/IR fusion tracking improves tracking accuracy and reduces tracking loss rate.

Key words: target tracking；modified probabilistic data association filter；clutter environment；turn maneuvering