Title :
Mobile localization with NLOS mitigation using improved Rao-Blackwellized Particle Filtering algorithm
Author :
Liang, Chen ; Lenan, Wu
Abstract :
An improved Rao-Blackwellized particle filtering (RBPF) is proposed track the mobility of mobile station (MS) in mixed line-of-sight (LOS) or non-line-of-sight (NLOS) conditions in cellular network. The algorithm first estimates the sight condition state using particle filtering method, in which particles are sampled by the optimal trial distribution and selected by one-step backward prediction. Then, by applying decentralized extended Kalman filter (EKF), the mobile state could then be analytically computed. Simulations show more accurate results can be achieved by the proposed method than by current methods.
Keywords :
Kalman filters; cellular radio; particle filtering (numerical methods); radio direction-finding; signal sampling; Rao-Blackwellized particle filtering algorithm; cellular network; decentralized extended Kalman filter; mixed line-of-sight condition; mobile localization; mobile station; mobility tracking; nonline-of-sight condition; one-step backward prediction; optimal trial distribution; particle sampling; Consumer electronics; Electromagnetic scattering; Filtering algorithms; Kalman filters; Mobile computing; Particle tracking; Position measurement; State estimation; Testing; Time measurement; extended kalman filter (EKF); mobility localization; non-line-of-sight (NLOS); particle filter (PF);
Conference_Titel :
Consumer Electronics, 2009. ISCE '09. IEEE 13th International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-2975-2
Electronic_ISBN :
978-1-4244-2976-9
DOI :
10.1109/ISCE.2009.5157040
