TY - JOUR
T1 - Generalized ionospheric dispersion simulation method for wideband satellite-ground-link radio systems
AU - Zhou, Yang
AU - Zheng, Zhe
AU - Wu, Si Liang
N1 - Publisher Copyright:
© 2015 Beijing Institute of Technology.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - A generalized ionospheric dispersion simulation method is presented to verify and test wideband satellite-ground-link radio systems for dispersion robustness. In the method, ionospheric dispersive effects on wideband radio waves are modeled as an allpass nonlinear phase system, thus greatly decreasing the need for signal priori information. To accurately simulate the ionospheric dispersion and reduce the implementation complexity, the system is decomposed into three new allpass subsystems: with a linear phase passing through zero frequency, a constant phase, and a nonlinear phase with zero-offset and quasi-parabolic form respectively. The three subsystems are implemented respectively by the combination of integer-interval delay and fractional delay filter, digital shifting phase and the complex-coefficient finite impulse response (FIR) filter. The ionospheric dispersion simulation can be achieved by cascading the three subsystems in a complex baseband and converting the frequency to a radio frequency. Simulation results show that the method has the ability to accurately simulate the ionospheric dispersion characteristics without knowing the signal priori information and has a low implementation complexity.
AB - A generalized ionospheric dispersion simulation method is presented to verify and test wideband satellite-ground-link radio systems for dispersion robustness. In the method, ionospheric dispersive effects on wideband radio waves are modeled as an allpass nonlinear phase system, thus greatly decreasing the need for signal priori information. To accurately simulate the ionospheric dispersion and reduce the implementation complexity, the system is decomposed into three new allpass subsystems: with a linear phase passing through zero frequency, a constant phase, and a nonlinear phase with zero-offset and quasi-parabolic form respectively. The three subsystems are implemented respectively by the combination of integer-interval delay and fractional delay filter, digital shifting phase and the complex-coefficient finite impulse response (FIR) filter. The ionospheric dispersion simulation can be achieved by cascading the three subsystems in a complex baseband and converting the frequency to a radio frequency. Simulation results show that the method has the ability to accurately simulate the ionospheric dispersion characteristics without knowing the signal priori information and has a low implementation complexity.
KW - Complex-coefficient FIR filter
KW - Fractional delay filter
KW - Generalization
KW - Ionospheric dispersion simulation
KW - System decomposition
UR - http://www.scopus.com/inward/record.url?scp=84957805881&partnerID=8YFLogxK
U2 - 10.15918/j.jbit1004-0579.201524.0413
DO - 10.15918/j.jbit1004-0579.201524.0413
M3 - Article
AN - SCOPUS:84957805881
SN - 1004-0579
VL - 24
SP - 513
EP - 518
JO - Journal of Beijing Institute of Technology (English Edition)
JF - Journal of Beijing Institute of Technology (English Edition)
IS - 4
ER -