Accuracy improvement of GPS/MEMS-INS integrated navigation system during GPS signal outage for land vehicle navigation

Qin, Honglei; Li, Cong; Sun, Xiaoyun

doi:10.1109/jsee.2012.00033

Cited by 39 publications

(22 citation statements)

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“…6. This figure illustrated the radial position error, (24), and radial velocity error, (25), during 600 seconds navigation with completely similar situations. Fig.…”

Section: Test and Comparisionmentioning

confidence: 74%

“…In (18), first two diagonal element correspond to latitude and longitude errors, third one corresponds to height errors, and other elements are position errors. The diagonal element of (18) are selected according to suggestion in [22], but with 3 instead of , according to applied approach in [24]. We have taken the error sphere of the GPS to have a radius of 2m.…”

Section: Adaption Of Measurement Noise Covariance Matrix ( )mentioning

confidence: 99%

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Neuro-fuzzy adaptive Kalman filtering for INS/GPS integration

Abdoli

Suratgar

Menhaj

et al. 2016

2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA)

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Adaptive Kalman filtering is widely used in data fusion and integration. This paper highlights the use of fuzzy inference system in INS/GPS integration for adaptation of the measurement noise covariance matrix, while the process covariance matrix is known. Selection of initial measurement noise covariance matrix, training process and an innovative adaption approach are investigated. A strapdown INS equipped with high quality inertial sensors and an accurate GPS receiver is evaluated in several tests, and the results confirm that tuning the measurement noise covariance matrix in neuro-fuzzy adaptive Kalman filtering approach outperforms the conventional Kalman filter in INS/GPS integration.

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“…6. This figure illustrated the radial position error, (24), and radial velocity error, (25), during 600 seconds navigation with completely similar situations. Fig.…”

Section: Test and Comparisionmentioning

confidence: 74%

Section: Adaption Of Measurement Noise Covariance Matrix ( )mentioning

confidence: 99%

Neuro-fuzzy adaptive Kalman filtering for INS/GPS integration

Abdoli

Suratgar

Menhaj

et al. 2016

2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA)

View full text Add to dashboard Cite

show abstract

“…The use of GPS for land vehicle navigation purposes have also increased due to its miniature size and low cost (Qin et al 2012). However, the use of GPS got increased but, still there are many inherent shortcomings of GPS while using in the land vehicle positioning system (Zhao 2011).…”

Section: Introductionmentioning

confidence: 99%

Train Localization Using an Adaptive Multisensor Data Fusion Technique

Malakar

Roy

2019

Transport

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This work deals with the development of an adaptive multisensor data fusion technique for the accurate estimation of the trains position and velocity. The proposed technique will work with the Train Collision Avoidance System (TCAS) used in Indian railways during Global Positioning System (GPS) outages. The determination of accurate position of trains is a challenging task for the TCAS during GPS outages. The accuracy of the proposed Volterra Recursive Least Square (VRLS) based adaptive multisensor data fusion technique is evaluated by generating two kinematic profiles for a passenger train running between Silchar-Lumding broad gauge route in Indian railways. The effect of accelerometer bias is also considered during the analysis. It is observed that the developed technique can provide a better estimate of the position and velocity for the TCAS especially during GPS outages and without using any additional railway infrastructure. The simulation results indicate that the proposed technique is superior to the earlier works in terms of achieving better positional accuracy in presence of accelerometer bias.

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“…MOOC (Massive Open Online Courses), a large open online course, a free online learning platform set up by the top universities in the United States in 2012, providing learning opportunities for more students. At present, China has MOOC platforms such as Chinese college students' enemies and love courses [1].…”

Section: Introductionmentioning

confidence: 99%

Research on Mixed Teaching of "Microcomputer Principle and Interface Technology" Course Based on MOOC

Liang¹

2018

Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

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In this paper, based on the teaching status of microcomputer principle and interface technology course, a hybrid teaching method based on MOOC "Microcomputer Principle and Interface Technology" course is proposed. The teaching method combines the MOOC platform with the traditional classroom, and makes full use of the MOOC teaching resources to achieve efficient classroom learning. Students need to learn MOOC content in advance, and teachers need to prepare lessons according to the MOOC learning situation of the students. It has been proved by practice that this teaching method makes the lectures in the classroom more prominent, the learning efficiency is improved, the students' grades are generally improved, and the overall teaching effect is good.

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Accuracy improvement of GPS/MEMS-INS integrated navigation system during GPS signal outage for land vehicle navigation

Cited by 39 publications

References 0 publications

Neuro-fuzzy adaptive Kalman filtering for INS/GPS integration

Neuro-fuzzy adaptive Kalman filtering for INS/GPS integration

Train Localization Using an Adaptive Multisensor Data Fusion Technique

Research on Mixed Teaching of "Microcomputer Principle and Interface Technology" Course Based on MOOC

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