TY - GEN
T1 - A Methodology for GNSS Signals Acquisition for Non-Conventional Spectral Estimation Techniques Evaluation Using Software-Defined Radio
AU - Teran, Marco
AU - Osorio, Juan
AU - Garcia, Jhon
AU - Marin, Jefferson
AU - Aranda, Juan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we present a signal acquisition and verification methodology to code a performance evaluation study of several non-conventional spectral estimation techniques for spectrum sensing, with the objective of detecting weak GNSS signals transmitted in high noise conditions. Traditionally, the Fast Fourier Transform has been used as a mechanism for performing correlation operations in the spectral domain for Global Navigation Satellite System (GNSS) signal acquisition. However, non-conventional techniques have been implemented to increase the robustness of the detector in low signal-to-noise ratio (SNR) environments. We implemented a Global Positioning System (GPS) signal receiver in GNU Radio to compare non-conventional spectral estimation techniques such as Burg, Yule-Walker, and Correlogram, for the purpose of detecting real GNSS signals under higher noise conditions.
AB - In this paper, we present a signal acquisition and verification methodology to code a performance evaluation study of several non-conventional spectral estimation techniques for spectrum sensing, with the objective of detecting weak GNSS signals transmitted in high noise conditions. Traditionally, the Fast Fourier Transform has been used as a mechanism for performing correlation operations in the spectral domain for Global Navigation Satellite System (GNSS) signal acquisition. However, non-conventional techniques have been implemented to increase the robustness of the detector in low signal-to-noise ratio (SNR) environments. We implemented a Global Positioning System (GPS) signal receiver in GNU Radio to compare non-conventional spectral estimation techniques such as Burg, Yule-Walker, and Correlogram, for the purpose of detecting real GNSS signals under higher noise conditions.
UR - https://www.scopus.com/pages/publications/85182025161
UR - https://ieeexplore.ieee.org/document/10334282/
U2 - 10.1109/COLCOM59909.2023.10334282
DO - 10.1109/COLCOM59909.2023.10334282
M3 - Proceedings
AN - SCOPUS:85182025161
T3 - 2023 IEEE Colombian Conference on Communications and Computing, COLCOM 2023 - Proceedings
BT - 2023 IEEE Colombian Conference on Communications and Computing, COLCOM 2023 - Proceedings
A2 - Briceno Rodriguez, Diana Z.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Colombian Conference on Communications and Computing, COLCOM 2023
Y2 - 27 July 2023 through 28 July 2023
ER -