Haris Ubaid Gul

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Wireless indoor positioning systems have gained more popularity in recent years by taking the advantage of already existing radio infrastructures, which saves extra deployment costs and effort. These systems have been widely used in location tracking, helping people to navigate and use logistics systems etc. Global Positioning System (GPS) works well(More)
This paper presents recursive moving horizon estimation for integrated filtering i.e. estimation of the airborne system navigation parameters. The data fusion/integrated filtering was performed for commercial grade inertial navigation system (INS), global position system (GPS) and air data system. The recursive sliding window discrete time state estimation(More)
In this paper, we propose an integration of GPS and dead reckoning navigation system based on moving horizon estimation (MHE) in order to improve its performance. The basic idea of MHE is to minimize an estimation cost function defined on a sliding window composed of a finite number of time stages. From simulation results we have done an objective(More)
This paper presents an alternate recursive state estimator of moving horizon estimation as compared to the conventional state estimator of Kalman filtering. The state estimator estimates the position set, velocity set and attitude data of the dynamic aerial vehicle. In the first scenario, the available data for processing are the measurement set from(More)
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