A Study on the Method of Precise IR Target Tracking
Ge Min (Flight Auto-Control Research Institute, the Ministry of Aero-Space Industry, Xi'an 710061), Yang Yihe (Xidian University, Xi'an)
This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value. Variable size of measurement matrix is set up to increase operation velocity and attenuate noise in processing. A design example of tracking algorithm is presented. Simulation results and the effectiveness of our approach are discussed in detail.