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Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2018.11.140
Abstract: Abstract Signal is the key to GNSS-R signal simulation. In view of the lack of practical signal model, a method for establishing a model for GNSS signal reflected from ocean surface, is proposed based on…
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Keywords:
signal;
signal reflected;
reflected ocean;
gnss signal ... See more keywords
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1
Published in 2019 at "Journal of Navigation"
DOI: 10.1017/s0373463319000870
Abstract: To reduce the operational complexity of the multipath estimating delay lock loop (MEDLL) and improve its anti-multipath performance for strobe correlators, a combination anti-multipath scheme, namely, the MEDLL on-strobe correlation technique, is proposed for global…
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Keywords:
multipath;
medll strobe;
gnss signal;
anti multipath ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2822835
Abstract: This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this…
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Keywords:
reproducibility;
gnss signal;
signal processing;
reproducibility gnss ... See more keywords
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2
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3161409
Abstract: In the last 20 years, the reflected signal of Global Navigation Satellite System (GNSS) has been used for remotely sensing a series of geophysical parameters, resulting in two GNSS based remotely sensing techniques: GNSS reflectometry…
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Keywords:
soil moisture;
gnss;
gnss signal;
cm3 ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3172023
Abstract: Multipath is one of the most challenging propagation conditions affecting global navigation satellite systems (GNSS), which must be mitigated in order to obtain reliable navigation information. In any case, the random multipath nature makes it…
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Keywords:
multipath;
criterion;
bound;
gnss signal ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3184357
Abstract: Global navigation satellite system (GNSS) signal type classification based on machine learning is an effective way to improve urban positioning performance. However, GNSS signal type features extracted are unrelated, and the number of features is…
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Keywords:
matrix transformation;
classification;
rayleigh quotient;
hadamard matrix ... See more keywords