Performance Analysis of Constrained Loosely Coupled GPS/INS Integration Solutions

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

doi:10.3390/s121115983

Cited by 50 publications

(30 citation statements)

References 8 publications

(8 reference statements)

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“…The GPS also is commonly used to determine the navigation data of projectile. It has advantages of high precision, all-weather capability, and continuous work, which can provide real-time information of position and velocity of projectile [8][9][10]. A method for synthesizing attitude data using single-antenna GPS velocity measurements was successfully demonstrated in this study [8].…”

Section: Introductionmentioning

confidence: 96%

Roll Attitude Determination of Spin Projectile Based on GPS and Magnetoresistive Sensor

Ding

Guan

2017

Mathematical Problems in Engineering

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Improvement in attack accuracy of the spin projectiles is a very significant objective, which increases the overall combat efficiency of projectiles. The accurate determination of the projectile roll attitude is the recent objective of the efficient guidance and control. The roll measurement system for the spin projectile is commonly based on the magnetoresistive sensor. It is well known that the magnetoresistive sensor produces a sinusoidally oscillating signal whose frequency slowly decays with time, besides the possibility of blind spot. On the other hand, absolute sensors such as GPS have fixed errors even though the update rates are generally low. To earn the benefit while eliminating weaknesses from both types of sensors, a mathematical model using filtering technique can be designed to integrate the magnetoresistive sensor and GPS measurements. In this paper, a mathematical model is developed to integrate the magnetoresistive sensor and GPS measurements in order to get an accurate prediction of projectile roll attitude in a real flight time. The proposed model is verified using numerical simulations, which illustrated that the accuracy of the roll attitude measurement is improved.

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Section: Introductionmentioning

confidence: 96%

Roll Attitude Determination of Spin Projectile Based on GPS and Magnetoresistive Sensor

Ding

Guan

2017

Mathematical Problems in Engineering

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“…Table 1 summarizes the advantages and the disadvantages of is shared by several authors [15][16][17].…”

Section: Gps/ins Couplingmentioning

confidence: 99%

Low-Cost GPS/INS Integrated Land-Vehicular Navigation System for Harsh Environments Using Hybrid Mamdani AFIS/KF Model

Navidi¹,

Landry²

2016

JTTE

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Nowadays, GPS (global positioning system) receivers are aided by INS (inertial navigation systems) to achieve more precision and stability in land-vehicular navigation. KF (Kalman filter) is a conventional method which is used for the navigation system to estimate the navigational parameters, when INS measurements are fused with GPS data. However, new generation of INS, which relies on MEMS (micro-electro-mechanical systems) based low-cost IMUs (inertial measurement units) for the land navigation systems, decreases the accuracy and the robustness of navigation system due to their inherent errors. This paper provides a new method for fusing the low-cost IMU and GPS measurements. The proposed method is based on KF aided by AFIS (adaptive fuzzy inference systems) as a promising solution to overcome the mentioned problems. The results of this study show the efficiency of the proposed method to reduce the navigation system errors in comparison with KF alone.

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“…This structure is generally preferable in the GPS/INS integration as being composed of three distinct entities, which are the stand-alone GPS solution, the stand-alone INS solution and the GPS/INS coupled solution. This architecture, presented in Figure 1, is shared by several authors [12][13][14]. In this architecture, a filter is used to fuse the GPS and INS solutions (position and velocity) and to estimate some system error's parameters.…”

Section: A Loosely Coupled Gps/ins Integrationmentioning

confidence: 99%

A New Survey on Self-Tuning Integrated Low-Cost GPS/Ins Vehicle Navigation System in Harsh Environment

Navidi

Landry

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Nowadays, Global Positioning System (GPS) receivers are aided by some complementary radio navigation systems and Inertial Navigation Systems (INS) to obtain more accuracy and robustness in land vehicular navigation. Extended Kalman Filter (EKF) is an acceptable conventional method to estimate the position, the velocity, and the attitude of the navigation system when INS measurements are fused with GPS data. However, the usage of the low-cost Inertial Measurement Units (IMUs) based on the MicroElectro-Mechanical Systems (MEMS), for the land navigation systems, reduces the precision and stability of the navigation system due to their inherent errors. The main goal of this paper is to provide a new model for fusing low-cost IMU and GPS measurements. The proposed model is based on EKF aided by Fuzzy Inference Systems (FIS) as a promising method to solve the mentioned problems. This model considers the parameters of the measurement noise to adjust the measurement and noise process covariance. The simulation results show the efficiency of the proposed method to reduce the navigation system errors compared with EKF.

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Performance Analysis of Constrained Loosely Coupled GPS/INS Integration Solutions

Cited by 50 publications

References 8 publications

Roll Attitude Determination of Spin Projectile Based on GPS and Magnetoresistive Sensor

Roll Attitude Determination of Spin Projectile Based on GPS and Magnetoresistive Sensor

Low-Cost GPS/INS Integrated Land-Vehicular Navigation System for Harsh Environments Using Hybrid Mamdani AFIS/KF Model

A New Survey on Self-Tuning Integrated Low-Cost GPS/Ins Vehicle Navigation System in Harsh Environment

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