An Analysis of Spoofing Effects on a GNSS Receiver Using Real-Time GNSS Spoofing Simulator

Im, Sung-Hyuck; Im, Jun-Hyuck; Jee, Gyu-In; Heo, Mun-Beom

doi:10.5302/j.icros.2013.19.2.113

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…Traditional GNSS simulators consist of simulation control software (SCS) and signal generation hardware (SGH) [11][12][13][14][15]. The SCS sets the state and controls the generation process of the simulated GNSS signals, including the setting of parameters such as the carrier motion trajectory and simulation environment.…”

Section: Introductionmentioning

confidence: 99%

Satellite Navigation Simulation Signal Generation Method Based on GPU Acceleration

Pengliang¹,

Wu²,

Zeng³

et al. 2020

J. Math. Inf.

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This paper describes a GNSS simulator signal generation method based on GPU acceleration. Mathematical simulations of the satellite constellation and receiver carriers enable simulation control software (SCS) to periodically send the parameters of the visible satellites to users. Furthermore, the SCS calculates simulated digital IF signals by calling multiple parallel threads on the GPU. To improve the parallel computing speed, the data structure is designed to facilitate quick access to the pseudocode data. We propose an optimal CUDA implementation for calculating the sampling data according to the characteristics of the GNSS signals. Simulations demonstrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Satellite Navigation Simulation Signal Generation Method Based on GPU Acceleration

Pengliang¹,

Wu²,

Zeng³

et al. 2020

J. Math. Inf.

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A Successive Repeat-back Jamming Cancellation Scheme Using a Combined-PRN Signal to Mitigate Repeat-back Jamming for GNSS Receivers

Yoo¹,

Yeom²,

Jee³

et al. 2014

Journal of Institute of Control, Robotics and Systems

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Abstract:In this paper, an effective repeat-back jamming (RBJ) mitigation scheme known assuccessive repeat-back jamming cancellation (SRC) is proposed for the utilization of the successive interference cancellation (SIC) algorithm which is used to mitigate the near-far effect and the multiple-access interference for code division multiple-access communication systems. The proposed scheme uses a combined pseudo-random noise (C-PRN) signal from the estimated major parameters of RBJ signals.To evaluate the performance of the proposed scheme, the root mean squared (RMS) code tracking errors are shown according to the standard deviation of the parameter estimation errors of an RBJ signal, and using the well-known major parameters estimation schemes with a C-PRN signal through Monte-Carlo simulation.

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Station Based Detection Algorithm using an Adaptive Fading Kalman Filter for Ramp Type GNSS Spoofing

Kim¹,

Kang²,

Park³

2015

Journal of Institute of Control, Robotics and Systems

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Abstract:In this paper, a GNSS interference detection algorithm based on an adaptive fading Kalman filter is proposed to detect a spoofing signal which is one of the threatening GNSS intentional interferences. To detect and mitigate the spoofing signal, the fading factor of the filter is used as a detection parameter. For simulation, the effect of the spoofing signal is modeled by the ramp type bias error of the pseudorange to emulate a smart spoofer and the change of the fading factor value according to ramp type bias error is quantitatively analyzed. In addition, the detection threshold is established to detect the spoofing signal by analyzing the change of the error covariance and the effect of spoofing is mitigated by controlling the Kalman gain of the filter. To verify the performance analysis of the proposed algorithm, various simulations are implemented. Through the results of simulations, we confirmed that the proposed algorithm works well.

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An Analysis of Spoofing Effects on a GNSS Receiver Using Real-Time GNSS Spoofing Simulator

Cited by 3 publications

References 1 publication

Satellite Navigation Simulation Signal Generation Method Based on GPU Acceleration

Satellite Navigation Simulation Signal Generation Method Based on GPU Acceleration

A Successive Repeat-back Jamming Cancellation Scheme Using a Combined-PRN Signal to Mitigate Repeat-back Jamming for GNSS Receivers

Station Based Detection Algorithm using an Adaptive Fading Kalman Filter for Ramp Type GNSS Spoofing

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