Title :
An improved combined interacting multiple models probabilistic data association algorithm
Author :
Xiong, Yang ; Shun-sheng, Zhang ; Wei, Zhang ; Ming-yan, Chen
Author_Institution :
Res. Inst. of Electron. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Considering the impact of the common measurements for updating the track to improve PDA algorithm, an improved combined interacting multiple models probability data association(IC-IMMPDA) algorithm, combining IMM algorithm with improved PDA algorithm is proposed. The simulation´s results show that the new algorithm is not only much better than the combined interacting multiple models probabilistic data association (C-IMMPDA) algorithm, but also keeping small calculation cost in the environment of dense targets.
Keywords :
probability; target tracking; IC-IMMPDA algorithm; dense target environment; improved combined interacting multiple models; probabilistic data association algorithm; Logic gates; Personal digital assistants; Probabilistic logic; Probability; Radar tracking; Target tracking; Time measurement; interacting multiple models algorithm; multiple target tracking; probabilistic data association algorithm;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159929
