A novel integrated navigation positioning method
ICNC（2013）
摘要
In order to meet the surging demands for location information, GPS as one of the navigation technologies fails to achieve accurate positioning in dense urban or indoor environment. Due to wide coverage and high transmission power of digital television(DTV) transmitters, DTV-based wireless positioning is a promising complementary to global positioning system. This paper presents a new positioning method combining GPS and DTMB. Simulation results show that Extended Kalman Filter Algorithm(EKF) is an effective method to deal with data fusion in hybrid positioning system, filtering trajectory is consistent with the real trajectory basically. Thus this hybrid positioning system has inspired wide research interests to provide a promising positioning solution in dense urban and indoor environments, where GPS performs badly or even fails to work.
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关键词
ekf,global positioning system,kalman filters,gps,digital television multimedia broadcasting,novel integrated navigation positioning method,dtmb,dense urban environment,data fusion,filtering trajectory,extended kalman filter algorithm,filtering theory,dense indoor environment,television transmitters,location information,hybrid positioning navigation,multimedia communication,digital television transmitters,sensor fusion,digital television,hybrid positioning system,nonlinear filters,dtv-based wireless positioning,mathematical model,satellites,digital tv,trajectory
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