A KALMAN FILTER SINGLE POINT POSITIONING FOR MARITIME APPLICATIONS USING A SMARTPHONE
نویسندگان
چکیده
منابع مشابه
Fixed-point FPGA Implementation of a Kalman Filter for Range and Velocity Estimation of Moving Targets
Tracking filters are extensively used within object tracking systems in order to provide consecutive smooth estimations of position and velocity of the object with minimum error. Namely, Kalman filter and its numerous variants are widely known as simple yet effective linear tracking filters in many diverse applications. In this paper, an effective method is proposed for designing and implementa...
متن کاملA Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter
A position-velocity (PV) model and a multi-sensor system, consisted of a consumer application GPS, a MEMS gyro, two encoders, and a turning angle sensor, was constructed for the positioning system. The two encoders augmented the positioning accuracy greatly that the fluctuation of vehicle position was greatly smoothed comparing with a GPS-only system. The minimal fluctuation was falling from 2....
متن کاملTemporal Registration using a Kalman Filter for Augmented Reality Applications
Augmented Reality uses see-through head-mounted displays to superimpose synthetically generated information on a three-dimensional scene. Information is rendered in alignment with physical objects to enhance the user’s ability to perceive and interact with the world. A significant technical challenge related to Augmented Reality is determining the transformation that will correctly align the sy...
متن کاملIncreasing Accuracy of Combined GPS and GLONASS Positioning using Fuzzy Kalman Filter
In this paper, combined GPS and GLONASS positioning systems are discussed and some solutions have been proposed to improve the accuracy of navigation. Global Satellite Navigation System (GNSS) is able to provide position, velocity and time with respect to coordinated universal time. GNSS positioning is based on received satellite signals, so its performance is highly dependent on the quality of...
متن کاملA New Adaptive Extended Kalman Filter for a Class of Nonlinear Systems
This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recursive updating rules for the noise covariances, these rules are easy to implement and reduce the n...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geographia Technica
سال: 2020
ISSN: 1842-5135,2065-4421
DOI: 10.21163/gt_2021.163.02