A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data

碩士 === 國立成功大學 === 測量工程學系碩博士班 === 92 === 　　Quick measurements of gravity over wide areas and no terrain limit are the superiority of the airborne gravimetry . The accuracy and error model of airborne gravity affected by methods of determining airborne gravity . 　　In the study , Kalman filter for dete...

Full description

Bibliographic Details
Main Authors:	Feng-Fu Juang, 莊峰輔
Other Authors:	Ruei-Je You
Format:	Others
Language:	zh-TW
Published:	2004
Online Access:	http://ndltd.ncl.edu.tw/handle/16638815809812408952

id	ndltd-TW-092NCKU5367014
record_format	oai_dc
spelling	ndltd-TW-092NCKU53670142016-06-17T04:16:57Z http://ndltd.ncl.edu.tw/handle/16638815809812408952 A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data 卡爾曼濾波應用於空載GPS/INS測量數據求定重力場之研究 Feng-Fu Juang 莊峰輔碩士國立成功大學測量工程學系碩博士班 92 　　Quick measurements of gravity over wide areas and no terrain limit are the superiority of the airborne gravimetry . The accuracy and error model of airborne gravity affected by methods of determining airborne gravity . 　　In the study , Kalman filter for determining airborne gravity disturbance vectors from airborne GPS/INS measurement data is applied , and furthermore , Least Squares Collocation is used to improve the accuracy . The results of the experiments have shown that the internal precision of the estimated gravity is about ±4mgal, and the external precision about ±8mgal. Ruei-Je You 尤瑞哲 2004 學位論文 ; thesis 70 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立成功大學 === 測量工程學系碩博士班 === 92 === 　　Quick measurements of gravity over wide areas and no terrain limit are the superiority of the airborne gravimetry . The accuracy and error model of airborne gravity affected by methods of determining airborne gravity . 　　In the study , Kalman filter for determining airborne gravity disturbance vectors from airborne GPS/INS measurement data is applied , and furthermore , Least Squares Collocation is used to improve the accuracy . The results of the experiments have shown that the internal precision of the estimated gravity is about ±4mgal, and the external precision about ±8mgal.
author2	Ruei-Je You
author_facet	Ruei-Je You Feng-Fu Juang 莊峰輔
author	Feng-Fu Juang 莊峰輔
spellingShingle	Feng-Fu Juang 莊峰輔 A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data
author_sort	Feng-Fu Juang
title	A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data
title_short	A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data
title_full	A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data
title_fullStr	A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data
title_full_unstemmed	A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data
title_sort	study on kalman filter for determining gravity field from airborne gps/ins measurement data
publishDate	2004
url	http://ndltd.ncl.edu.tw/handle/16638815809812408952
work_keys_str_mv	AT fengfujuang astudyonkalmanfilterfordetermininggravityfieldfromairbornegpsinsmeasurementdata AT zhuāngfēngfǔ astudyonkalmanfilterfordetermininggravityfieldfromairbornegpsinsmeasurementdata AT fengfujuang kǎěrmànlǜbōyīngyòngyúkōngzàigpsinscèliàngshùjùqiúdìngzhònglìchǎngzhīyánjiū AT zhuāngfēngfǔ kǎěrmànlǜbōyīngyòngyúkōngzàigpsinscèliàngshùjùqiúdìngzhònglìchǎngzhīyánjiū AT fengfujuang studyonkalmanfilterfordetermininggravityfieldfromairbornegpsinsmeasurementdata AT zhuāngfēngfǔ studyonkalmanfilterfordetermininggravityfieldfromairbornegpsinsmeasurementdata
_version_	1718308376753995776

A Study on Kalman Filter for Determining Gravity Field from Airborne GPS/INS Measurement Data

Similar Items