Microsensors for military platform

Global Positioning System (GPS) and Inertial Navigation System (INS) are used to determine position and velocity. A GPS module is able to accurately determine position without sensor drift but its usage is limited in heavily urbanized environments and heavy vegetation. While high cost tactical-grad...

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Main Author: Lee, Steven Jiahe.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54140
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-541402023-03-04T18:34:07Z Microsensors for military platform Lee, Steven Jiahe. School of Mechanical and Aerospace Engineering Yoon Yong-Jin DRNTU::Engineering::Mechanical engineering::Mechatronics Global Positioning System (GPS) and Inertial Navigation System (INS) are used to determine position and velocity. A GPS module is able to accurately determine position without sensor drift but its usage is limited in heavily urbanized environments and heavy vegetation. While high cost tactical-grade INS determines position accurately, low-cost MEMS INS sensors are plagued by significant errors. In this study, GPS is coupled with INS to correct the errors while INS itself can be used to provide navigation solution during a GPS outage. Data from GPS and INS can be integrated by extensive Kalman Filtering, using loosely-coupled integration architecture to provide navigation solutions. The real-time low-cost loosely-coupled MEMS INS/GPS sensors have been used for pedestrian navigation. Trial runs of GPS outages have been conducted to determine the accuracy of the system described. The MEMS INS/GPS system can successfully project a trajectory during a GPS outage and produces a root-mean-square error of 9.35m in latitude direction and 10.8m in longitude direction. Bachelor of Engineering (Mechanical Engineering) 2013-06-14T03:35:16Z 2013-06-14T03:35:16Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54140 en Nanyang Technological University 82 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Mechatronics
spellingShingle DRNTU::Engineering::Mechanical engineering::Mechatronics
Lee, Steven Jiahe.
Microsensors for military platform
description Global Positioning System (GPS) and Inertial Navigation System (INS) are used to determine position and velocity. A GPS module is able to accurately determine position without sensor drift but its usage is limited in heavily urbanized environments and heavy vegetation. While high cost tactical-grade INS determines position accurately, low-cost MEMS INS sensors are plagued by significant errors. In this study, GPS is coupled with INS to correct the errors while INS itself can be used to provide navigation solution during a GPS outage. Data from GPS and INS can be integrated by extensive Kalman Filtering, using loosely-coupled integration architecture to provide navigation solutions. The real-time low-cost loosely-coupled MEMS INS/GPS sensors have been used for pedestrian navigation. Trial runs of GPS outages have been conducted to determine the accuracy of the system described. The MEMS INS/GPS system can successfully project a trajectory during a GPS outage and produces a root-mean-square error of 9.35m in latitude direction and 10.8m in longitude direction.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Lee, Steven Jiahe.
format Final Year Project
author Lee, Steven Jiahe.
author_sort Lee, Steven Jiahe.
title Microsensors for military platform
title_short Microsensors for military platform
title_full Microsensors for military platform
title_fullStr Microsensors for military platform
title_full_unstemmed Microsensors for military platform
title_sort microsensors for military platform
publishDate 2013
url http://hdl.handle.net/10356/54140
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