Mems Based Integrated Navigation
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Mems Based Integrated Navigation
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Author : Priyanka Aggarwal
language : en
Publisher: Artech House
Release Date : 2010
Mems Based Integrated Navigation written by Priyanka Aggarwal and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Technology & Engineering categories.
Due to their micro-scale size and low power consumption, Microelectromechanical systems (MEMS) are now being utilized in a variety of fields. This leading-edge resource focuses on the application of MEMS inertial sensors to navigation systems. The book shows you how to minimize cost by adding and removing inertial sensors. Moreover, this practical reference provides you with various integration strategies with examples from real field tests. From an introduction to MEMS navigation related applicationsOC to special topics on Alignment for MEMS-Based NavigationOC to discussions on the Extended Kalman Filter, this comprehensive book covers a wide range of critical topics in this fast-growing area."
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Author : Олег Степанович Салычев
language : en
Publisher:
Release Date : 2012
written by Олег Степанович Салычев and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology & Engineering categories.
Intelligent Information Processing For Inertial Based Navigation Systems
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Author : Chong Shen
language : en
Publisher: Springer Nature
Release Date : 2021-01-04
Intelligent Information Processing For Inertial Based Navigation Systems written by Chong Shen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Technology & Engineering categories.
This book introduces typical inertial devices and inertial-based integrated navigation systems, gyro noise suppression, gyro temperature drift error modeling compensation, inertial-based integrated navigation systems under discontinuous observation conditions, and inertial-based brain integrated navigation systems. Integrated navigation is the result of the development of modern navigation theory and technology. The inertial navigation system has the advantages of strong autonomy, high short-term accuracy, all-day time, all weather, and so on. And it has been applied in most integrated navigation systems. Among them, the information processing of inertial-based integrated navigation system is the core technology. Due to the effect of the device mechanism and working environment, there are errors in the output information of the inertial-based integrated navigation system, including gyroscope noise, temperature drift, and discontinuous observations, which will seriously reduce the accuracy and robustness of the system. And the book helps readers to solve these problems. The intelligent information processing technology involved is equipped with simulation verification, which can be used as a reference for undergraduate, graduate, and Ph.D. students, and also scientific researchers or engineers engaged in navigation-related specialties.
A Tightly Coupled Ins Gps Integration Using A Mems Imu
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Author : Jonathan M. Neu
language : en
Publisher:
Release Date : 2004-09-01
A Tightly Coupled Ins Gps Integration Using A Mems Imu written by Jonathan M. Neu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-01 with Global Positioning System categories.
Micro-Electro-Mechanical Systems (MEMS) technology holds great promise for future navigation systems because of the reduced size and cost of MEMS inertial sensors relative to conventional devices. Current MEMS devices are much less accurate than standard inertial sensors, but they can still be useful. In this thesis, data was recorded from an inexpensive MEMS inertial measurement unit and integrated with GPS measurements using a tightly-coupled Kalman filter. The overall goal of this research is to investigate the usefulness of MEMS sensors for a small, real-time, low-cost INS/GPS integration. A golf cart was used to collect dynamic data, along with a commercial INS/GPS system to provide reference data. This data was then post-processed, and the filter's performance in the position, velocity, and attitude outputs were evaluated by comparing them to the reference system. The important system features of system alignment, bias feedback, and INS resets are described, and the filter's performance is analyzed using its estimate and covariance outputs and comparing them to the true error. Filter residuals are also shown and discussed. The final results show that, with adequate processing available, the INS/GPS filter using the MEMS instruments provides good position, velocity, and attitude results over a period of up to 15 minutes, as long as the data is at least somewhat dynamic. Without vehicle motion, the vehicle yaw state tends to wander excessively, due to the bias and noise of the MEMS gyroscopes. Over a long static period, the filter's position outputs would most likely diverge and become unstable. Recommendations are made to combat this problem, among them to conduct more characterization of the MEMS sensors, and to add GPS velocity measurements as an input to the filter.
Key Technologies In Low Cost Integrated Vehicle Navigation Systems
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Author : Yueming Zhao
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013
Key Technologies In Low Cost Integrated Vehicle Navigation Systems written by Yueming Zhao and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
A vehicle navigation system can consist of several sensors: GPS, INS, odometers, cameras etc. The Micro Electrical Mechanical Sensors (MEMS) are cheap alternative to more expensive inertial sensors, but they suffer from larger errors. The MEMS stochastic errors are analysed with different methods. GPS/MEMS integration is introduced and navigation errors are analysed based on analytical error propagation studies and on real tests. Moreover, the GPS/MEMS combination is augmented by map matching and camera observations of detected objects (lines and points). The robust BLAVE (Balanced Least Absolute Value Estimator) method is introduced and applied on the estimation of camera motion parameters. Comparisons with the traditional RANSAC algorithm are also presented. Finally the dynamic GPS/MEMS error model is augmented with equivalent coloured noise model and its performance is tested on simulated data coming from multiple MEMS sensors.
Mems For Automotive And Aerospace Applications
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Author : Michael Kraft
language : en
Publisher: Elsevier
Release Date : 2013-01-02
Mems For Automotive And Aerospace Applications written by Michael Kraft and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-02 with Technology & Engineering categories.
MEMS for automotive and aerospace applications reviews the use of Micro-Electro-Mechanical-Systems (MEMS) in developing solutions to the unique challenges presented by the automotive and aerospace industries. Part one explores MEMS for a variety of automotive applications. The role of MEMS in passenger safety and comfort, sensors for automotive vehicle stability control applications and automotive tire pressure monitoring systems are considered, along with pressure and flow sensors for engine management, and RF MEMS for automotive radar sensors. Part two then goes on to explore MEMS for aerospace applications, including devices for active drag reduction in aerospace applications, inertial navigation and structural health monitoring systems, and thrusters for nano- and pico-satellites. A selection of case studies are used to explore MEMS for harsh environment sensors in aerospace applications, before the book concludes by considering the use of MEMS in space exploration and exploitation. With its distinguished editors and international team of expert contributors, MEMS for automotive and aerospace applications is a key tool for MEMS manufacturers and all scientists, engineers and academics working on MEMS and intelligent systems for transportation. Chapters consider the role of MEMS in a number of automotive applications, including passenger safety and comfort, vehicle stability and control MEMS for aerospace applications are also discussed, including active drag reduction, inertial navigation and structural health monitoring systems Presents a number of case studies exploring MEMS for harsh environment sensors in aerospace
Performance Enhancement Of Mems Based Ins Gps Integration For Low Cost Navigation Applications
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Author : Mark David Eberts
language : en
Publisher:
Release Date : 2007
Performance Enhancement Of Mems Based Ins Gps Integration For Low Cost Navigation Applications written by Mark David Eberts and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Experimental road test work involving a MEMS-based INS were carried out over the course of this research and have validated the effectiveness of the proposed methods on several trajectories. The new approaches suggested in this research in modifying the existing conventional KF modules have been proven to enhance the overall accuracy and to reduce the position errors during CPS outages. The NF based nonlinear modeling of INS position errors adds further improvement to the positioning accuracy.
Fundamentals Of Inertial Navigation Satellite Based Positioning And Their Integration
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Author : Aboelmagd Noureldin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-26
Fundamentals Of Inertial Navigation Satellite Based Positioning And Their Integration written by Aboelmagd Noureldin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-26 with Technology & Engineering categories.
Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration is an introduction to the field of Integrated Navigation Systems. It serves as an excellent reference for working engineers as well as textbook for beginners and students new to the area. The book is easy to read and understand with minimum background knowledge. The authors explain the derivations in great detail. The intermediate steps are thoroughly explained so that a beginner can easily follow the material. The book shows a step-by-step implementation of navigation algorithms and provides all the necessary details. It provides detailed illustrations for an easy comprehension. The book also demonstrates real field experiments and in-vehicle road test results with professional discussions and analysis. This work is unique in discussing the different INS/GPS integration schemes in an easy to understand and straightforward way. Those schemes include loosely vs tightly coupled, open loop vs closed loop, and many more.
Computer Aided Algorithms Based On Mathematics And Machine Learning For Integrated Gps And Ins Land Vehicle Navigation Systems
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Author : Deepak Bhatt
language : en
Publisher:
Release Date : 2014
Computer Aided Algorithms Based On Mathematics And Machine Learning For Integrated Gps And Ins Land Vehicle Navigation Systems written by Deepak Bhatt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computer algorithms categories.
An integrated navigation system consisting of INS and GPS is usually preferred due to the reduced dependency on GPS-only navigator in an area prone to poor signal reception or affected by multipath. The performance of the integrated system largely depends upon the quality of the Inertial Measurement Unit (IMU) and the integration methodology. Considering the restricted use of high grade IMU and their associated price, low-cost IMUs are becoming the preferred choice for civilian navigation purposes. MEMS based inertial sensors have made possible the development of civilian land vehicle navigation as it offers small size and low-cost. However, these low-cost inertial sensors possess high inherent sensor errors such as biases, drift, noises etc. As a result, the accuracy of the integrated system degrades rapidly in a GPS denied environment. Thus, an accurate in-lab calibration and modeling of inertial sensor errors become mandatory before being deployed. This dissertation introduces a Support Vector Regression (SVR) based IMU error modeling approach for improving the low-cost navigation system accuracy. A low-cost MEMS based IMU offered by cloud cap technology, Crista IMU is used to evaluate the SVR based error modeling approach effectiveness. Alternatively, the IMU derived navigation solution and GPS data is fused to output the more reliable navigation solution and model the errors in the inertial navigation solution simultaneously. This fusion and error modeling continues during the GPS signal availability. In the case of GPS outages, the developed error model is utilized to improve the integrated navigation system accuracy. Thus, in a continued effort to improve the standalone low-cost IMU derived navigation solution reliability during GPS outages, an intelligent technique utilizing neural networks and a hybrid of mathematics and support vector based fusion algorithms are proposed fusing INS and GPS data in an open and closed loop fashion. The performance of the proposed techniques and algorithm is evaluated using real field test data utilizing low-cost MEMS IMU, Crossbow IMU 300CC-100 and a Novatel OEM GPS receiver. The test results demonstrated the improved positioning accuracy in comparison to existing techniques and showed a substantial reduction in standalone Inertial Navigation System (INS) position error drift during GPS outages. Further, a feasibility of statistical based approaches consisting of Cubist, Random Forest and Support Vector Regression is evaluated for a low-cost INS and GPS integrated system. Through experimental demonstration, Random forest regression was found to be a suitable candidate for INS and GPS data fusion as it offers the least training time and ability to tuned the parameter automatically.
Performance Evaluation Of Mems Based Ins Gps Integration
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Author : Azmir Hasnur Rabiain
language : en
Publisher:
Release Date : 2010
Performance Evaluation Of Mems Based Ins Gps Integration written by Azmir Hasnur Rabiain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Global Positioning System categories.
