Title :
New Track Correlation Algorithm of Distributed Multi-sensor System
Author :
Zhang Weihua ; Li, Zhou ; Zhou Li
Author_Institution :
Property & Logistic Manage., Ludong Univ., Yantai
Abstract :
In multi-target and false alarm scenario, the effect of the traditional optimal track correlation algorithm based on statistics of two local nodes canpsilat satisfy the need of engineering. A new global optimal track correlation algorithm based on the traditional optimal algorithms is presented in this paper. The new algorithm eliminates some false tracks from the optimal assignment process according to an adaptive threshold method. Simulation result shows that the adaptive threshold algorithm can improve the correct correlation probability by 5~9 percents, and the run time of the new algorithm is decreased compared with the former algorithm, so the new algorithm is effective.
Keywords :
distributed sensors; probability; sensor fusion; statistical analysis; target tracking; adaptive threshold method; correct correlation probability; distributed multisensor system; false alarm scenario; optimal assignment process; optimal track correlation algorithm; statistics; Automation; Differential equations; Distributed computing; Engineering management; Error analysis; Estimation error; Logistics; State estimation; Statistical distributions; Target tracking; generalized assignment problem; the global optimal algorithm; track correlation algorithm;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.474