Abstract
Analysis of cyclostationarity property in GPS signals for spoofing detection is presented in a software-defined GPS receiver framework. GPS spoofing is an attempt to mislead GPS receivers by sending false GPS signals. For the analysis of spoofed GPS signals, cyclic autocorrelation function (CAF) and spectral correlation density (SCD) graphs are considered. For the validation of the proposed method, a set of recorded GPS spoofed data known as Texas Spoofing Test Battery (TEXBAT), which is an evolving standard test for evaluating GPS spoofing countermeasures, is used. When CAF and SCD of a GPS signal with and without spoofing are calculated, results showed that the fundamental cyclic frequency of GPS signal changes due to spoofing.
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Lakshmi, R., Vaitheeswaran, S.M., Pargunarajan, K. (2019). Cyclostationarity Analysis of GPS Signals for Spoofing Detection. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_21
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DOI: https://doi.org/10.1007/978-981-13-3600-3_21
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