The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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La principale faiblesse des récepteurs du système mondial de navigation par satellite est leur vulnérabilité aux interférences intentionnelles et non intentionnelles. La technologie de suppression des interférences dans le domaine fréquentiel (FDIS) est l’une des contre-mesures les plus utiles. La mesure de pseudo-portée est impartiale après filtrage FDIS étant donné un canal analogique idéal. Cependant, sous l'influence des modules analogiques utilisés dans le frontal RF, la réponse en amplitude et la réponse en phase du filtre équivalent de canal ne sont pas idéales, ce qui biaise la mesure de pseudo-portée après filtrage FDIS et la polarisation varie en fonction de la fréquence. de l’interférence. Cet article propose une méthode de suppression d'interférences impartiale basée sur l'estimation du signal et la compensation spectrale. L'idée principale est d'utiliser les paramètres calculés à partir de la boucle de suivi pour estimer et reconstruire le signal souhaité. Le signal estimé est filtré par le filtre équivalent du canal réel, puis il est utilisé pour compenser la perte spectrale provoquée par la méthode FDIS dans le domaine fréquentiel. Les simulations montrent que l'algorithme proposé peut réduire considérablement le biais de mesure de pseudo-portée, même pour les canaux avec un retard de groupe asymétrique et plusieurs sources d'interférence à n'importe quel endroit.
Jian WU
National University of Defense Technology
Xiaomei TANG
National University of Defense Technology
Zengjun LIU
National University of Defense Technology
Baiyu LI
National University of Defense Technology
Feixue WANG
National University of Defense Technology
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Jian WU, Xiaomei TANG, Zengjun LIU, Baiyu LI, Feixue WANG, "Unbiased Interference Suppression Method Based on Spectrum Compensation" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 1, pp. 52-59, January 2020, doi: 10.1587/transcom.2019EBP3046.
Abstract: The major weakness of global navigation satellite system receivers is their vulnerability to intentional and unintentional interference. Frequency domain interference suppression (FDIS) technology is one of the most useful countermeasures. The pseudo-range measurement is unbiased after FDIS filtering given an ideal analog channel. However, with the influence of the analog modules used in RF front-end, the amplitude response and phase response of the channel equivalent filter are non-ideal, which bias the pseudo-range measurement after FDIS filtering and the bias varies along with the frequency of the interference. This paper proposes an unbiased interference suppression method based on signal estimation and spectrum compensation. The core idea is to use the parameters calculated from the tracking loop to estimate and reconstruct the desired signal. The estimated signal is filtered by the equivalent filter of actual channel, then it is used for compensating the spectrum loss caused by the FDIS method in the frequency domain. Simulations show that the proposed algorithm can reduce the pseudo-range measurement bias significantly, even for channels with asymmetrical group delay and multiple interference sources at any location.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3046/_p
Copier
@ARTICLE{e103-b_1_52,
author={Jian WU, Xiaomei TANG, Zengjun LIU, Baiyu LI, Feixue WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Unbiased Interference Suppression Method Based on Spectrum Compensation},
year={2020},
volume={E103-B},
number={1},
pages={52-59},
abstract={The major weakness of global navigation satellite system receivers is their vulnerability to intentional and unintentional interference. Frequency domain interference suppression (FDIS) technology is one of the most useful countermeasures. The pseudo-range measurement is unbiased after FDIS filtering given an ideal analog channel. However, with the influence of the analog modules used in RF front-end, the amplitude response and phase response of the channel equivalent filter are non-ideal, which bias the pseudo-range measurement after FDIS filtering and the bias varies along with the frequency of the interference. This paper proposes an unbiased interference suppression method based on signal estimation and spectrum compensation. The core idea is to use the parameters calculated from the tracking loop to estimate and reconstruct the desired signal. The estimated signal is filtered by the equivalent filter of actual channel, then it is used for compensating the spectrum loss caused by the FDIS method in the frequency domain. Simulations show that the proposed algorithm can reduce the pseudo-range measurement bias significantly, even for channels with asymmetrical group delay and multiple interference sources at any location.},
keywords={},
doi={10.1587/transcom.2019EBP3046},
ISSN={1745-1345},
month={January},}
Copier
TY - JOUR
TI - Unbiased Interference Suppression Method Based on Spectrum Compensation
T2 - IEICE TRANSACTIONS on Communications
SP - 52
EP - 59
AU - Jian WU
AU - Xiaomei TANG
AU - Zengjun LIU
AU - Baiyu LI
AU - Feixue WANG
PY - 2020
DO - 10.1587/transcom.2019EBP3046
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2020
AB - The major weakness of global navigation satellite system receivers is their vulnerability to intentional and unintentional interference. Frequency domain interference suppression (FDIS) technology is one of the most useful countermeasures. The pseudo-range measurement is unbiased after FDIS filtering given an ideal analog channel. However, with the influence of the analog modules used in RF front-end, the amplitude response and phase response of the channel equivalent filter are non-ideal, which bias the pseudo-range measurement after FDIS filtering and the bias varies along with the frequency of the interference. This paper proposes an unbiased interference suppression method based on signal estimation and spectrum compensation. The core idea is to use the parameters calculated from the tracking loop to estimate and reconstruct the desired signal. The estimated signal is filtered by the equivalent filter of actual channel, then it is used for compensating the spectrum loss caused by the FDIS method in the frequency domain. Simulations show that the proposed algorithm can reduce the pseudo-range measurement bias significantly, even for channels with asymmetrical group delay and multiple interference sources at any location.
ER -