Bounded Constrained Filtering for GPS/INS Integration

Einicke, G.A.; Falco, Gianluca; Malos, J.

doi:10.1109/tac.2012.2223362

Cited by 17 publications

(15 citation statements)

References 36 publications

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“…In bounded constrained filtering [4] for GPS/INS, Garry A. Einicke proposed that, the integrated GPS/INS systems is used to estimate motion between GPS data by combining inertial navigation solutions with GPS. Namely looselycoupled and tightly-coupled, these are two types of GPS/INS integration.…”

Section: Background and Related Workmentioning

confidence: 99%

To Develop Racing Application for Real Time Results Calculation using GPS and GPRS/GSM Device

Bhogade¹,

Inamdar²

2015

IJCA

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This paper presents that, integration of GPS and GPRS/GSM device for any kind of vehicle gives an suitable output for real-time racing of vehicles (Bikes, Jet Skies).To develop real time racing application, use of the two technologies is made, i.e. Global System for Mobiles/General Packet Radio Service (GSM/GPRS) which provide 2G and 3G technologies and satellite-based navigation system consisting of several satellites revolving around the earth i.e. Global Positioning System. The GPS and GSM/GPRS device will provide the solution for tracing of path and for real time racing of vehicles (Bikes, Jet skies). A real-time vehicle tracking system proposes the use of a GPS technology module to receive the location of the vehicle, to forward data into microcontroller and connect to internet by a GPRS technology for displaying a real time results on the website map developed by Google map. It allows inspection of vehicles with the Google map on a real-time website. Also vehicles can be monitored and located very effectively and results can be declared faster. GPS has various applications such as in military projects, also used as a tool in commerce, scientific uses, tracking and surveillance etc. General TermsCommunication using GPS and GPRS/GSM, Haversine algorithm for distance calculation to get real time results.

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Section: Background and Related Workmentioning

confidence: 99%

To Develop Racing Application for Real Time Results Calculation using GPS and GPRS/GSM Device

Bhogade¹,

Inamdar²

2015

IJCA

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“…The resulting third-order EKF is defined by (18) - (19) in which the gain is now calculated using (21) and (23).…”

Section: Third-order Extended Kalman Filtermentioning

confidence: 99%

“…Constraint information could also be embedded within nonlinear models for use with EKFs. A simpler, low-computation-cost technique that avoids EKF stablity problems and suits real-time implementation is described in [19]. In particular, an on-line procedure is proposed that involves using nonlinear functions to censor the measurements and subsequently applying the minimum-variance filter recursions.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Prediction, Filtering and Smoothing

Einicke¹

2012

Smoothing, Filtering and Prediction - Estimating the Past, Present and Future

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“…Inertial navigation system (INS) is a standalone system that provides linear acceleration and angular velocity at high speed, but as time goes by it significantly reduces its accuracy, position, and velocity and error rate information increased. The combination of GPS and INS can provide accuracy position and enhance the reliability of the system, and therefore has been widely applied in the integrated navigation system [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Fusion Estimation Algorithm with Uncertain Noises and Its Application in Navigation System

Ren

Wang²

2015

Mathematical Problems in Engineering

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In order to solve the problem of uncertain noise during the measurement of actual system, an extended Kalman filter fusion estimation method based on multisensor fusion algorithm with uncertain effects is proposed. Then the equivalent measurement and the corresponding error matrix are estimated by the proposed uncertain fusing algorithm. Submit the results into the system model for filter processing and the optimal estimation can be obtained by the filtering method. Finally, the algorithm is verified in the GPS/INS navigation system which shows that the fusion result with uncertainty effect is much better than then fusion result with independent noise due to the consideration of correlated noise and uncertain effects for the actual system. This is also validates the effectiveness and practicality of the proposed algorithm.

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Bounded Constrained Filtering for GPS/INS Integration

Cited by 17 publications

References 36 publications

To Develop Racing Application for Real Time Results Calculation using GPS and GPRS/GSM Device

To Develop Racing Application for Real Time Results Calculation using GPS and GPRS/GSM Device

Nonlinear Prediction, Filtering and Smoothing

Fusion Estimation Algorithm with Uncertain Noises and Its Application in Navigation System

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