GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations
Abstract This article investigates new strategies to compute accurate low‐complexity log‐likelihood ratio (LLR) values based on the Bayesian formulation under uncorrelated fading channels for both antipodal and code shift keying modulations when no channel state information (CSI) is available at the...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-02-01
|
Series: | IET Radar, Sonar & Navigation |
Online Access: | https://doi.org/10.1049/rsn2.12017 |
id |
doaj-7a1da69c0acc46ebb31844299af0c23c |
---|---|
record_format |
Article |
spelling |
doaj-7a1da69c0acc46ebb31844299af0c23c2021-08-02T08:25:45ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-02-0115211312710.1049/rsn2.12017GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulationsLorenzo Ortega0Jordi Vilà‐Valls1Charly Poulliat2Pau Closas3Telecommunications for Space and Aeronautics Lab (TéSA) Toulouse FranceISAE‐SUPAERO University of Toulouse Toulouse FranceINP/ENSEEIHT University of Toulouse Toulouse FranceDepartment of Electrical and Computer Engineering Northeastern University Boston Massachusetts USAAbstract This article investigates new strategies to compute accurate low‐complexity log‐likelihood ratio (LLR) values based on the Bayesian formulation under uncorrelated fading channels for both antipodal and code shift keying modulations when no channel state information (CSI) is available at the receiver. These LLR values are then used as input to modern error‐correcting schemes used in the data decoding process of last‐generation Global Navigation Satellite System signals. Theoretical analysis based on the maximum achievable rate is presented for the different methods in order to evaluate the performance degradation with respect to the optimal CSI channel. Finally, the frame error rate simulation results are shown, validating the appropriate performance of the proposed LLR approximation methods.https://doi.org/10.1049/rsn2.12017 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lorenzo Ortega Jordi Vilà‐Valls Charly Poulliat Pau Closas |
spellingShingle |
Lorenzo Ortega Jordi Vilà‐Valls Charly Poulliat Pau Closas GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations IET Radar, Sonar & Navigation |
author_facet |
Lorenzo Ortega Jordi Vilà‐Valls Charly Poulliat Pau Closas |
author_sort |
Lorenzo Ortega |
title |
GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations |
title_short |
GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations |
title_full |
GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations |
title_fullStr |
GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations |
title_full_unstemmed |
GNSS data demodulation over fading environments: Antipodal and M‐ary CSK modulations |
title_sort |
gnss data demodulation over fading environments: antipodal and m‐ary csk modulations |
publisher |
Wiley |
series |
IET Radar, Sonar & Navigation |
issn |
1751-8784 1751-8792 |
publishDate |
2021-02-01 |
description |
Abstract This article investigates new strategies to compute accurate low‐complexity log‐likelihood ratio (LLR) values based on the Bayesian formulation under uncorrelated fading channels for both antipodal and code shift keying modulations when no channel state information (CSI) is available at the receiver. These LLR values are then used as input to modern error‐correcting schemes used in the data decoding process of last‐generation Global Navigation Satellite System signals. Theoretical analysis based on the maximum achievable rate is presented for the different methods in order to evaluate the performance degradation with respect to the optimal CSI channel. Finally, the frame error rate simulation results are shown, validating the appropriate performance of the proposed LLR approximation methods. |
url |
https://doi.org/10.1049/rsn2.12017 |
work_keys_str_mv |
AT lorenzoortega gnssdatademodulationoverfadingenvironmentsantipodalandmarycskmodulations AT jordivilavalls gnssdatademodulationoverfadingenvironmentsantipodalandmarycskmodulations AT charlypoulliat gnssdatademodulationoverfadingenvironmentsantipodalandmarycskmodulations AT pauclosas gnssdatademodulationoverfadingenvironmentsantipodalandmarycskmodulations |
_version_ |
1721238269621960704 |