Assessment of stochastic models for GPS measurements with different types of receivers

Bibliographic Details
Main Authors: Li, Bofeng, Shen, Y., Xu, P.
Format: Journal Article
Published: Science in China Press/Zhongguo Kexue Zazhishe 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/11136
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author Li, Bofeng
Shen, Y.
Xu, P.
author_facet Li, Bofeng
Shen, Y.
Xu, P.
author_sort Li, Bofeng
building Curtin Institutional Repository
collection Online Access
first_indexed 2025-11-14T06:53:42Z
format Journal Article
id curtin-20.500.11937-11136
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:53:42Z
publishDate 2008
publisher Science in China Press/Zhongguo Kexue Zazhishe
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-111362017-01-30T11:23:00Z Assessment of stochastic models for GPS measurements with different types of receivers Li, Bofeng Shen, Y. Xu, P. cross correlation time correlation elevation dependent weight GPS stochastic model 2008 Journal Article http://hdl.handle.net/20.500.11937/11136 Science in China Press/Zhongguo Kexue Zazhishe fulltext
spellingShingle cross correlation
time correlation
elevation dependent weight
GPS
stochastic model
Li, Bofeng
Shen, Y.
Xu, P.
Assessment of stochastic models for GPS measurements with different types of receivers
title Assessment of stochastic models for GPS measurements with different types of receivers
title_full Assessment of stochastic models for GPS measurements with different types of receivers
title_fullStr Assessment of stochastic models for GPS measurements with different types of receivers
title_full_unstemmed Assessment of stochastic models for GPS measurements with different types of receivers
title_short Assessment of stochastic models for GPS measurements with different types of receivers
title_sort assessment of stochastic models for gps measurements with different types of receivers
topic cross correlation
time correlation
elevation dependent weight
GPS
stochastic model
url http://hdl.handle.net/20.500.11937/11136