Author: Matthew Markel
Publisher:
ISBN: 9780530004341
Category : Technology & Engineering
Languages : en
Pages : 190
Book Description
Abstract: With its low transmit power and considerable orbit distance from receivers, the Global positioning system (GPS) waveforms are known to be susceptible to jamming. Efforts to date have investigated various receiver designs and adaptive antenna arrays to improve the anti-jam capabilities of GPS position location, but until this work no extension of anti-jam capabilities to attitude determination (determination of the orientation of a body in space) existed. This dissertation provides a comprehensive investigation into the new field of robust, jam-resistant attitude determination using the Global Positioning System. We present a generic adaptive antenna array and receiver design that provide the necessary data for both position location and attitude determination in a jammed environment. Using the data this receiver provides we develop a new maximum likelihood attitude estimator (the MLAE) that provides attitude determination capability even in jammed environments. In order to accomplish this, new ways of viewing the standard array processing and direction finding tenants are presented. This leads to a new interpretation and parameterization of the array response vector (spatial steering vector) and secondary data covariance matrix. The MLAE optimally includes information from all satellites in view, and its performance is shown herein to asymptotically achieve the Cramer-Rao Bound (CRB), i.e. the MLAE asymptotically achieves the performance limit for unbiased estimators. As an approximation to this estimator, a second estimator is developed that, at the expense of performance, may provide increased computational capability. Two versions of this second estimator are presented that combine direction ̀„nding with attitude estimation. A method of optimally incorporating data from both GPS frequencies into the estimation is developed. This approach maintains the jammer mitigation capabilities of the previous estimators and allows for a larger array spacing, therefore increasing the accuracy of the attitude estimates. Simulation based performance results of the various estimators are presented for various antenna topologies and interference scenarios. The simulation results indicate that the new algorithms provide signicant improvement over conventional attitude determination methods. In addition, the MLAE is shown to provide better performance than conventional methods of attitude determination even in unjammed environments. Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "Interference Mitigation for GPS Based Attitude Determination" by Matthew David Markel, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.
Interference Mitigation for GPS Based Attitude Determination
Author: Matthew Markel
Publisher:
ISBN: 9780530004341
Category : Technology & Engineering
Languages : en
Pages : 190
Book Description
Abstract: With its low transmit power and considerable orbit distance from receivers, the Global positioning system (GPS) waveforms are known to be susceptible to jamming. Efforts to date have investigated various receiver designs and adaptive antenna arrays to improve the anti-jam capabilities of GPS position location, but until this work no extension of anti-jam capabilities to attitude determination (determination of the orientation of a body in space) existed. This dissertation provides a comprehensive investigation into the new field of robust, jam-resistant attitude determination using the Global Positioning System. We present a generic adaptive antenna array and receiver design that provide the necessary data for both position location and attitude determination in a jammed environment. Using the data this receiver provides we develop a new maximum likelihood attitude estimator (the MLAE) that provides attitude determination capability even in jammed environments. In order to accomplish this, new ways of viewing the standard array processing and direction finding tenants are presented. This leads to a new interpretation and parameterization of the array response vector (spatial steering vector) and secondary data covariance matrix. The MLAE optimally includes information from all satellites in view, and its performance is shown herein to asymptotically achieve the Cramer-Rao Bound (CRB), i.e. the MLAE asymptotically achieves the performance limit for unbiased estimators. As an approximation to this estimator, a second estimator is developed that, at the expense of performance, may provide increased computational capability. Two versions of this second estimator are presented that combine direction ̀„nding with attitude estimation. A method of optimally incorporating data from both GPS frequencies into the estimation is developed. This approach maintains the jammer mitigation capabilities of the previous estimators and allows for a larger array spacing, therefore increasing the accuracy of the attitude estimates. Simulation based performance results of the various estimators are presented for various antenna topologies and interference scenarios. The simulation results indicate that the new algorithms provide signicant improvement over conventional attitude determination methods. In addition, the MLAE is shown to provide better performance than conventional methods of attitude determination even in unjammed environments. Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "Interference Mitigation for GPS Based Attitude Determination" by Matthew David Markel, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.
Publisher:
ISBN: 9780530004341
Category : Technology & Engineering
Languages : en
Pages : 190
Book Description
Abstract: With its low transmit power and considerable orbit distance from receivers, the Global positioning system (GPS) waveforms are known to be susceptible to jamming. Efforts to date have investigated various receiver designs and adaptive antenna arrays to improve the anti-jam capabilities of GPS position location, but until this work no extension of anti-jam capabilities to attitude determination (determination of the orientation of a body in space) existed. This dissertation provides a comprehensive investigation into the new field of robust, jam-resistant attitude determination using the Global Positioning System. We present a generic adaptive antenna array and receiver design that provide the necessary data for both position location and attitude determination in a jammed environment. Using the data this receiver provides we develop a new maximum likelihood attitude estimator (the MLAE) that provides attitude determination capability even in jammed environments. In order to accomplish this, new ways of viewing the standard array processing and direction finding tenants are presented. This leads to a new interpretation and parameterization of the array response vector (spatial steering vector) and secondary data covariance matrix. The MLAE optimally includes information from all satellites in view, and its performance is shown herein to asymptotically achieve the Cramer-Rao Bound (CRB), i.e. the MLAE asymptotically achieves the performance limit for unbiased estimators. As an approximation to this estimator, a second estimator is developed that, at the expense of performance, may provide increased computational capability. Two versions of this second estimator are presented that combine direction ̀„nding with attitude estimation. A method of optimally incorporating data from both GPS frequencies into the estimation is developed. This approach maintains the jammer mitigation capabilities of the previous estimators and allows for a larger array spacing, therefore increasing the accuracy of the attitude estimates. Simulation based performance results of the various estimators are presented for various antenna topologies and interference scenarios. The simulation results indicate that the new algorithms provide signicant improvement over conventional attitude determination methods. In addition, the MLAE is shown to provide better performance than conventional methods of attitude determination even in unjammed environments. Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "Interference Mitigation for GPS Based Attitude Determination" by Matthew David Markel, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.
Interference Mitigation for GPS Based Attitude Determination
Author: Matthew David Markel
Publisher:
ISBN:
Category :
Languages : en
Pages : 338
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 338
Book Description
China Satellite Navigation Conference (CSNC 2021) Proceedings
Author: Changfeng Yang
Publisher: Springer Nature
ISBN: 9811631468
Category : Technology & Engineering
Languages : en
Pages : 678
Book Description
China Satellite Navigation Conference (CSNC 2021) Proceedings presents selected research papers from CSNC 2021 held during 22nd-25th May, 2021 in Nanchang, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 10 topics to match the corresponding sessions in CSNC2021 which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.
Publisher: Springer Nature
ISBN: 9811631468
Category : Technology & Engineering
Languages : en
Pages : 678
Book Description
China Satellite Navigation Conference (CSNC 2021) Proceedings presents selected research papers from CSNC 2021 held during 22nd-25th May, 2021 in Nanchang, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 10 topics to match the corresponding sessions in CSNC2021 which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.
Adaptive Interference Mitigation in GPS Receivers
Scientific and Technical Aerospace Reports
Record
Integration of Multi-rate Sensor Data Fusion with GPS Attitude Determination for Aircraft State Estimation
Author: Kuo Shen Choong
Publisher:
ISBN:
Category : Global Positioning System
Languages : en
Pages : 570
Book Description
Publisher:
ISBN:
Category : Global Positioning System
Languages : en
Pages : 570
Book Description
Tightly Integrated Attitude Determination Methods for Low-cost Inertial Navigation
Author: Yunchun Yang
Publisher:
ISBN:
Category : Inertial navigation (Aeronautics)
Languages : en
Pages : 414
Book Description
Publisher:
ISBN:
Category : Inertial navigation (Aeronautics)
Languages : en
Pages : 414
Book Description
Big Data and Security
Author: Yuan Tian
Publisher: Springer Nature
ISBN: 9811908524
Category : Computers
Languages : en
Pages : 761
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Big Data and Security, ICBDS 2021, held in Shenzhen, China, in November 2021 The 46 revised full papers and 13 short papers were carefully reviewed and selected out of 221 submissions. The papers included in this volume are organized according to the topical sections on cybersecurity and privacy; big data; blockchain and internet of things, and artificial intelligence/ machine learning security.
Publisher: Springer Nature
ISBN: 9811908524
Category : Computers
Languages : en
Pages : 761
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Big Data and Security, ICBDS 2021, held in Shenzhen, China, in November 2021 The 46 revised full papers and 13 short papers were carefully reviewed and selected out of 221 submissions. The papers included in this volume are organized according to the topical sections on cybersecurity and privacy; big data; blockchain and internet of things, and artificial intelligence/ machine learning security.