Title :
A Distance Estimation Algorithm for Infrared System Based on Structure Stochastic Jump System Theory
Author :
Zhao, Binghua ; Wu, Youli ; Zhu, Linhu
Author_Institution :
Air Force Eng. Univ., Xi´´an
Abstract :
In order to solve the problem of the distance estimation of the infrared passive system, a distance estimation algorithm is proposed based on the optimal estimation theory of structure stochastic jump system. Considered the rapidity and the limit of the internal storage capacity of the algorithm, a simplified algorithm is derived. And the ability of the algorithm correcting the initial distance deviation is discussed, simulation results show that the algorithm and its simplified algorithm can both accurately estimate the distance between the infrared passive tracker and the infrared target. And the algorithm can quickly correct the initial distance deviation in 1-2 seconds.
Keywords :
estimation theory; infrared detectors; optical tracking; stochastic processes; target tracking; distance estimation; infrared passive tracker; infrared target; initial distance deviation; internal storage capacity; optimal estimation theory; structure stochastic jump system theory; Computer vision; Educational institutions; Equations; Estimation theory; Missiles; Optical receivers; Power engineering and energy; Stochastic systems; Systems engineering and theory; Target tracking; distance estimation; infrared passive system; optimal estimation; structure stochastic jump system;
Conference_Titel :
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0737-8
Electronic_ISBN :
978-1-4244-0737-8
DOI :
10.1109/ICIEA.2007.4318528