Pedestrian Inertial Navigation with Self-Contained Aiding (eBook)

eBook Download: EPUB
2021 | 1. Auflage
192 Seiten
Wiley (Verlag)
978-1-119-69989-7 (ISBN)

Lese- und Medienproben

Pedestrian Inertial Navigation with Self-Contained Aiding -  Andrei M. Shkel,  Yusheng Wang
Systemvoraussetzungen
76,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
Explore an insightful summary of the major self-contained aiding technologies for pedestrian navigation from established and emerging leaders in the field Pedestrian Inertial Navigation with Self-Contained Aiding delivers a comprehensive and broad treatment of self-contained aiding techniques in pedestrian inertial navigation. The book combines an introduction to the general concept of navigation and major navigation and aiding techniques with more specific discussions of topics central to the field, as well as an exploration of the future of the future of the field: Ultimate Navigation Chip (uNavChip) technology. The most commonly used implementation of pedestrian inertial navigation, strapdown inertial navigation, is discussed at length, as are the mechanization, implementation, error analysis, and adaptivity of zero-velocity update aided inertial navigation algorithms. The book demonstrates the implementation of ultrasonic sensors, ultra-wide band (UWB) sensors, and magnetic sensors. Ranging techniques are considered as well, including both foot-to-foot ranging and inter-agent ranging, and learning algorithms, navigation with signals of opportunity, and cooperative localization are discussed. Readers will also benefit from the inclusion of: A thorough introduction to the general concept of navigation as well as major navigation and aiding techniques An exploration of inertial navigation implementation, Inertial Measurement Units, and strapdown inertial navigation A discussion of error analysis in strapdown inertial navigation, as well as the motivation of aiding techniques for pedestrian inertial navigation A treatment of the zero-velocity update (ZUPT) aided inertial navigation algorithm, including its mechanization, implementation, error analysis, and adaptivity Perfect for students and researchers in the field who seek a broad understanding of the subject, Pedestrian Inertial Navigation with Self-Contained Aiding will also earn a place in the libraries of industrial researchers and industrial marketing analysts who need a self-contained summary of the foundational elements of the field.

YUSHENG WANG, PhD, received the B.Eng. degree (Hons.) in engineering mechanics from Tsinghua University, Beijing, China, in 2014 and the Ph.D. degree in mechanical and aerospace engineering from the University of California, Irvine, CA, in 2020. His research interests include the development of silicon-based and fused quartz-based MEMS resonators and gyroscopes, and pedestrian inertial navigation development with sensor fusion. He is currently working at SiTime Corporation as an MEMS Development Engineer. ANDREI M. SHKEL, PhD, has been on faculty at the University of California, Irvine since 2000, and served as a Program Manager in the Microsystems Technology Office of DARPA. His research interests are reflected in over 300 publications, 42 patents, and 3 books. Dr. Shkel has been on a number of editorial boards, including Editor of IEEE/ASME JMEMS, Journal of Gyroscopy and Navigation, and the founding chair of the IEEE Inertial Sensors. He was awarded the Office of the Secretary of Defense Medal for Exceptional Public Service in 2013, and the 2009 IEEE Sensors Council Technical Achievement Award. He is the President of the IEEE Sensors Council and the IEEE Fellow.

Erscheint lt. Verlag 10.8.2021
Reihe/Serie IEEE Press Series on Sensors
Sprache englisch
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte Aeronautic & Aerospace Engineering • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Fussgängernavigation • Luft- u. Raumfahrttechnik • Maschinenbau • mechanical engineering • Sensoren, Instrumente u. Messung • Sensors, Instrumentation & Measurement
ISBN-10 1-119-69989-4 / 1119699894
ISBN-13 978-1-119-69989-7 / 9781119699897
Haben Sie eine Frage zum Produkt?
EPUBEPUB (Adobe DRM)
Größe: 26,0 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belle­tristik und Sach­büchern. Der Fließ­text wird dynamisch an die Display- und Schrift­größe ange­passt. Auch für mobile Lese­geräte ist EPUB daher gut geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Lehrbuch zu Grundlagen, Technologie und Praxis

von Konrad Mertens

eBook Download (2022)
Carl Hanser Verlag GmbH & Co. KG
34,99
Ressourcen und Bereitstellung

von Martin Kaltschmitt; Karl Stampfer

eBook Download (2023)
Springer Fachmedien Wiesbaden (Verlag)
66,99
200 Aufgaben zum sicheren Umgang mit Quellen ionisierender Strahlung

von Jan-Willem Vahlbruch; Hans-Gerrit Vogt

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
34,99