Title :
A Novel Approach to Mobile Positioning Tracking
Author :
Tang, Wensheng ; Kuang, Wangqiu ; Zhang, Dingxing
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha
Abstract :
This paper presents a new approach to mobile position tracking in wireless sensor networks (WSN). The noise is modeled as the adversary of estimator that has the goal of maximizing the estimation error, and the estimator gain and adversary gain is derived to yields a saddle point so that the mobile position is estimated. The simulation results show that the new approach results in the more accurate estimation for the mobile position and velocity.
Keywords :
Kalman filters; mobile radio; particle filtering (numerical methods); tracking; wireless sensor networks; Kalman filter; adversary gain; estimator gain; mobile positioning tracking; particle filter; wireless sensor networks; Acceleration; Computer networks; Estimation error; Kalman filters; Mobile computing; Nonlinear filters; Particle filters; Particle tracking; Wireless sensor networks; Yield estimation; Kalman filter; Mobile position tracking; game adversary; particle filter;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.437
