Title :
Removal of attitude errors based on multi-target multi-sensor environment in earth-centered earth-fixed coordinates
Author :
Liu, Sijia ; Han, Chongzhao ; Ruan, Di
Author_Institution :
Inst. of Integrated Autom., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
This paper describes a sensor registration methodology to estimate attitude biases in a multi-target multi-sensor environment. First, the available pairwise sensor alignment algorithm in Earth-Centered Earth-Fixed (ECEF) coordinates is introduced. However, for the multi-target multi-sensor environment, this method will result in non-unique alignment solutions, which is undesirable for many applications. Thus, we used expanded-dimension idea to establish a multi-target multi-sensor model for eliminating attitude errors. Simulation results reveal that this algorithm can reduce the convergence time and improve the precision of alignment solution compared to pairwise sensor registration methodology.
Keywords :
sensor fusion; target tracking; attitude errors removal; earth centered earth fixed coordinates; multitarget multisensor environment; sensor registration methodology; Artificial intelligence; Coordinate measuring machines; Target tracking; Attitude errors; attitude registration; expanded dimension; multi-sensor; multi-target; pairwise sensor registration;
Conference_Titel :
Information Networking and Automation (ICINA), 2010 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-8104-0
Electronic_ISBN :
978-1-4244-8106-4
DOI :
10.1109/ICINA.2010.5636773