Title :
The multiple-model linearization based on the unscented transform and its application in nodes’ locations in wireless sensor networks
Author :
Wang, Jianwen ; Li, Hongjun ; Li, Xun ; Ma, Hongxu ; Huang, Qianwei
Author_Institution :
Dept. of Autom. Control Nat., Univ. of Defense Technol. Changsha, Changsha
Abstract :
The unscented transform and the multiple-model method are employed to linearize nonlinear systems, and a new linearization method is designed called as the multiple-model linearization method based on the unscented transform (UT-MMLM). Because the UT-MMLM describes a nonlinear system by a linear systems´ set, it can further approach the original system. Based on this linear systems´ set, the multiple-model extended Kalman filter based on the unscented transform(UT- MMEKF) is designed. At last, the findings in this paper are used to locate nodes´ positions in wireless sensor networks(WSN).
Keywords :
Kalman filters; linearisation techniques; nonlinear control systems; wireless sensor networks; extended Kalman filter; multiple-model linearization; nonlinear systems; unscented transform; wireless sensor networks; Algorithm design and analysis; Control systems; Kalman filters; Linear systems; Nonlinear control systems; Nonlinear filters; Nonlinear systems; Polynomials; Speech synthesis; Wireless sensor networks; Location; Multiple-Model; Nonlinear System; Wireless Sensor Network;
Conference_Titel :
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1761-2
Electronic_ISBN :
978-1-4244-1758-2
DOI :
10.1109/ROBIO.2007.4522317