Unbiased Interference Suppression Method Based on Spectrum Compensation

Jian WU; Xiaomei TANG; Zengjun LIU; Baiyu LI; Feixue WANG

doi:10.1587/transcom.2019EBP3046

IEICE TRANSACTIONS on Communications

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Unbiased Interference Suppression Method Based on Spectrum Compensation

Jian WU, Xiaomei TANG, Zengjun LIU, Baiyu LI, Feixue WANG

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Summary :

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.

Publication: IEICE TRANSACTIONS on Communications Vol.E103-B No.1 pp.52-59

Publication Date: 2020/01/01

Publicized: 2019/07/16

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2019EBP3046

Type of Manuscript: PAPER

Category: Fundamental Theories for Communications

Authors

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

Keyword

GNSS receiver, pseudo-rang measurement, interference suppression, non-ideal channel, spectrum compensation

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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

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@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},}

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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 -

IEICE TRANSACTIONS on Communications